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EAGER: Quantum-inspired Electronic Structure

NSF

07/15/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '03090000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'CHE', 'LongName': 'Division Of Chemistry'}}

{'SignBlockName': 'Michel Dupuis', 'PO_EMAI': 'mdupuis@nsf.gov', 'PO_PHON': '7032922919'}

Nick Mayhall of Virginia Tech is supported by an award from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry to develop quantum-inspired electronic structure theory methods. Computational chemistry has become an invaluable resource for predicting and understanding the microscopic origins of chemical reactivity and structure. While both computer hardware and simulation algorithms have witnessed continued improvements over the years, many chemistry problems remain unanswered due to insurmountable computational costs, a situation which has fueled intense interest in leveraging quantum computation for solving chemistry problems. However, because of the fundamental differences between quantum and classical computers, chemistry simulation methods can’t simply be ported from classical over to quantum devices, making it necessary to design altogether new algorithms for deployment on quantum devices. In this project, Nick Mayhall and his research group will leverage ideas and components found in these new quantum algorithms to develop novel classical algorithms for chemistry simulation on currently available classical computers. The goal is to find ways to make use of these quantum algorithmic advances now, instead of waiting until reliable and accurate quantum computers become available. This work will provide publicly available, open-source software, while also addressing our nation’s need for quantum workforce development. <br/><br/>Nick Mayhall and his research group will adapt techniques developed for ‘noisy intermediate-scale quantum’ (NISQ) circuit simulations to make them suitable for accelerating electronic structure calculations on classical computers. This project is divided into 3 main objectives: 1) the development of efficient algorithms and open-source software to compute Heisenberg picture expectation values to accelerate the computation of relevant observables like molecular energy, 2) the development electronic structure methods that exploit the unique aspects of the Heisenberg picture computations, and 3) the application of NISQ error mitigation techniques to improve the classical methods developed. The methods developed in this project will be implemented into open-source software, while providing QIS training to chemistry students and postdocs to continue our efforts to help strengthen the quantum workforce.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/10/2024

07/10/2024

None

Grant

47.049

1

4900

4900

2414574

{'FirstName': 'Nicholas', 'LastName': 'Mayhall', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicholas J Mayhall', 'EmailAddress': 'nmayhall@vt.edu', 'NSF_ID': '000732417', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'M515A1DKXAN8'}

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'StateCode': 'VA', 'ZipCode': '240603359', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

{'Code': '688100', 'Text': 'Chem Thry, Mdls & Cmptnl Mthds'}

2024~300000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414574.xml'}

Conference: Travel Grant for the 28th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2024)

NSF

02/01/2024

01/31/2025

{'Value': 'Standard Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Stephanie Gage', 'PO_EMAI': 'sgage@nsf.gov', 'PO_PHON': '7032924748'}

The 28th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2024) serves as a dynamic platform for computational, mathematical, and biological sciences. Originating in 1997, the RECOMB conference provides a scientific platform for theoretical breakthroughs in computational biology, with practical applications in molecular biology and medicine. The 2024 RECOMB conference will be held from April 29th to May 2nd in Boston, Massachusetts. Travel, registration, and accommodation expenses will be provided to US-based students to attend the meeting. Emphasis will be given to participants presenting a paper or poster, underrepresented groups or those experiencing financial hardship. This conference will provide a valuable educational and research experience for these participants, enabling students to share their work and interact with the larger community. <br/><br/>RECOMB 24 will be a conference-style event with keynote addresses, peer-reviewed research paper presentations, special sessions and poster displays. Participants will be immersed in the latest advancements in computational biology, which is a rapidly growing industry spanning pharmaceuticals, agriculture, environment, consumer products, biotechnology, software, hardware, and other services. There is a growing demand for skilled computational biologists and RECOMB provides an annual meeting where students are exposed to the latest developments and research methodologies. The funding will provide support to 10 US-based students. The selection process will be overseen by the RECOMB conference chairs based on submitted letters of application. Members of underrepresented groups will be especially encouraged to apply.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

02/16/2024

02/16/2024

None

Grant

47.070

1

4900

4900

2414575

{'FirstName': 'Gurkan', 'LastName': 'Bebek', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gurkan Bebek', 'EmailAddress': 'gurkan.bebek@case.edu', 'NSF_ID': '000497354', 'StartDate': '02/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'ZipCode': '441061712', 'PhoneNumber': '2163684510', 'StreetAddress': '10900 EUCLID AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'OH11', 'ORG_UEI_NUM': 'HJMKEF7EJW69', 'ORG_LGL_BUS_NAME': 'CASE WESTERN RESERVE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'StateCode': 'OH', 'ZipCode': '441061712', 'StreetAddress': '10900 EUCLID AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'OH11'}

{'Code': '089Y00', 'Text': 'FET-Fndtns of Emerging Tech'}

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414575.xml'}

Studies in the Climate Dynamics of Moist Process Variability and Change

NSF

08/01/2024

07/31/2028

{'Value': 'Standard Grant'}

{'Code': '06020100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Eric DeWeaver', 'PO_EMAI': 'edeweave@nsf.gov', 'PO_PHON': '7032928527'}

In many regions an inch of rain in a day is enough to cause flooding but the heaviest downpours can produce an inch of rain in an hour or less. The probability distribution of rainfall intensity, meaning the relative likelihood of rainfall intensities ranging from gentle to heavy to catastrophic, is thus a topic of great practical as well as scientific interest. A primary concern here is the potential for heavy rain to become more common or more intense as climate warms because warmer air typically holds more water vapor. But while the temperature dependence of water vapor is clearly important it does not by itself provide a full accounting of the probability distribution of rainfall intensity.<br/><br/>This award supports the continuing effort of the Principal Investigator (PI) to understand the rainfall intensity distribution in terms of the statistical mechanics of processes that control convective precipitation, in particular the thermodynamics that relate moisture to temperature and the atmospheric dynamics that converge moisture into clouds and generate the cloud updrafts that produce rain. One goal is to explain why the increase in precipitation intensity in a warming climate exceeds expectations based on the increase of water vapor with temperature. Another is to extend the work on the rainfall distribution to address periods in which no rain occurs, in particular periods in which convection is inhibited by the subsaturation of air in the lower troposphere. The PI's work has shown an onset threshold for convective precipitation in a bulk measure of atmospheric stability that includes suppression of convection by entrainment of subsaturated air into clouds. Work performed here considers the extent to which this suppression of convection increases the likelihood of heat waves, particularly moist heat waves. A further line of research explores the representation of convection using Anelastic Convective Elements (ACEs), models which simulate the rising motion in a convecting cloud together with the overturning motion created around the cloud as air rises within it. The PI has shown that ACEs can represent important aspects of convection including deep inflow into convecting clouds, the insensitivity of entrainment to the width of the clouds, and the ability of convection to occur at night despite near surface layers of stable air that discourage convection.<br/><br/>The work is of societal as well as scientific interest given the destructive potential of extreme rainfall as noted above. In particular the PI's analysis of probability distributions enables the calculation of risk ratios which show how the risk of extreme precipitation events is likely to change as climate warms. The risk ratio calculations are quite effective in reducing the uncertainty in climate model projections of extreme precipitation increase. Similar risk ratios can be obtained for the change in the frequency and intensity of moist heat waves. The project also develops materials for undergraduate classes on the statistical mechanics of extreme precipitation, in part through hands-on projects using Python. In addition, the project provides support and training to a graduate student and a postdoc, thereby contributing to the future workforce in this research area.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/11/2024

07/11/2024

None

Grant

47.050

1

4900

4900

2414576

{'FirstName': 'J David', 'LastName': 'Neelin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'J David Neelin', 'EmailAddress': 'neelin@atmos.ucla.edu', 'NSF_ID': '000190717', 'StartDate': '07/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'ZipCode': '900244200', 'PhoneNumber': '3107940102', 'StreetAddress': '10889 WILSHIRE BLVD STE 700', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'CA36', 'ORG_UEI_NUM': 'RN64EPNH8JC6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, LOS ANGELES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900951565', 'StreetAddress': '520 Portola Plaza', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'CA36'}

{'Code': '574000', 'Text': 'Climate & Large-Scale Dynamics'}

2024~1389411

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414576.xml'}

Collaborative Research: Polymorphism, mating conflict, and the strength of top-down control in trophic cascades

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Colette St. Mary', 'PO_EMAI': 'cstmary@nsf.gov', 'PO_PHON': '7032924332'}

Animal behavior may impact ecology in ways that have lasting effects on biological diversity. In sailfin molly fish, males either court females and allow them to choose whether to mate, or harass females by making sneak mating attempts. This study will address how this common behavioral feature of populations, the maintenance of alternative mating strategies, affects the communities with which they interact. This work addresses whether the frequency of each male type impacts females’ ability to feed on zooplankton. If sneakers are common, females may forage less because of harassment, which may increase zooplankton abundance and decrease the phytoplankton that zooplankton eat. In this case, courters may succeed in clear water because their displays are visible, whereas sneakers may have an advantage in turbid water because females cannot see them as easily. Thus, the hypothesized trophic cascade is predicted to make the water clearer, which may, in turn, favoring courting males. If the frequency of courters increases, females may forage more, reducing zooplankton, increasing phytoplankton, and increasing turbidity, and favoring sneaking males. This behavior-ecology feedback cycle may thereby preserve both male types while driving variation at the community level. The proposed work will foster student engagement by building inclusivity-focused collaboration involving multiple institutions and allowing for opportunities to gain meaningful skills in studying behavioral and community ecology. The impacts and outreach include quantifying the effects of hands-on research on student success and sense of belonging and disseminating information about the importance of “eco-evolutionary dynamics”, a process key to the maintenance of biological variation in natural populations, using work on a charismatic and familiar species. Participants will gain direct research and mentorship skills while interacting with peers and mentors from three institutions. The team will publish and present findings and engage in outreach and activities with local organizations committed to enhancing science literacy among the public.<br/><br/>The primary goal of this study is to use an eco-evolutionary framework to investigate the effects of variation in mating on top-down ecological control. The study will use the sailfin molly (Poecilia latipinna), a poeciliid fish which exhibits size-dependent behavioral polymorphism: small males sneak copulations whereas large males court females. Females are the primary foragers in this system. The work specifically addresses whether mating harassment can perturb top-down ecological control by reducing female foraging rates. The experimental design employs mesocosms with differing morph frequencies to generate different levels of mating harassment. A higher frequency of sneakers is predicted to reduce top-down control, whereas a higher frequency of courters is predicted to increase top-down control. The subsequent effects on the trophic cascade may result in turbidity changes that generate fluctuating selection pressures alternately favoring courting and sneaking morphs, thereby maintaining the polymorphism. The proposed research will provide novel insights into how mating conflict shapes aquatic communities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/08/2024

08/08/2024

None

Grant

47.074

1

4900

4900

2414578

{'FirstName': 'Gita', 'LastName': 'Kolluru', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gita Kolluru', 'EmailAddress': 'gkolluru@calpoly.edu', 'NSF_ID': '000567376', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'ZipCode': '934079000', 'PhoneNumber': '8057562982', 'StreetAddress': '1 GRAND AVE BLDG 15', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'MC4RJJM9XLT5', 'ORG_LGL_BUS_NAME': 'CAL POLY CORPORATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'StateCode': 'CA', 'ZipCode': '934079000', 'StreetAddress': '1 GRAND AVE BLDG 15', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}

[{'Code': '112800', 'Text': 'Population & Community Ecology'}, {'Code': '765900', 'Text': 'Animal Behavior'}]

2024~150174

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414578.xml'}

Collaborative Research: Polymorphism, mating conflict, and the strength of top-down control in trophic cascades

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Colette St. Mary', 'PO_EMAI': 'cstmary@nsf.gov', 'PO_PHON': '7032924332'}

Animal behavior may impact ecology in ways that have lasting effects on biological diversity. In sailfin molly fish, males either court females and allow them to choose whether to mate, or harass females by making sneak mating attempts. This study will address how this common behavioral feature of populations, the maintenance of alternative mating strategies, affects the communities with which they interact? This work addresses whether the frequency of each male type impacts females’ ability to feed on zooplankton. If sneakers are common, females may forage less because of mating harassment, which may increase zooplankton abundance and decrease the phytoplankton that zooplankton eat. In this case, courters may succeed in clear water because their displays are visible, whereas sneakers may have an advantage in turbid water because females cannot see them as easily. Thus, the hypothesized trophic cascade is predicted to make the water clearer, which may, in turn, favoring courting males. If the frequency of courters increases, females may forage more, reducing zooplankton, increasing phytoplankton, and increasing turbidity, and favoring sneaking males. This behavior-ecology feedback cycle may thereby preserve both male types while driving variation at the community level. The proposed work will foster student engagement by building inclusivity-focused collaboration involving multiple institutions and allowing for opportunities to gain meaningful skills in studying behavioral and community ecology. The impacts and outreach include quantifying the effects of hands-on research on student success and sense of belonging and disseminating information about the importance of “eco-evolutionary dynamics”, a process key to the maintenance of biological variation in natural populations, using work on a charismatic and familiar species. Participants will gain direct research and mentorship skills while interacting with peers and mentors from three institutions. The team will publish and present findings and engage in outreach and activities with local organizations committed to enhancing science literacy among the public.<br/><br/>The primary goal of this study is to use an eco-evolutionary framework to investigate the effects of variation in mating harassment on top-down ecological control. The study will use the sailfin molly (Poecilia latipinna), a poeciliid fish which exhibits size-dependent sexual polymorphism: small males sneak copulations whereas large males court females. Females are the primary foragers in this system. The work specifically addresses whether mating harassment can perturb top-down ecological control by reducing female foraging rates. The experimental design employs mesocosms with differing morph frequencies to generate different levels of mating harassment. A higher frequency of sneakers is predicted to reduce top-down control, whereas a higher frequency of courters is predicted to increase top-down control. The subsequent effects on the trophic cascade may result in turbidity changes that generate fluctuating selection pressures alternately favoring courting and sneaking morphs, thereby maintaining the polymorphism. The proposed research will provide novel insights into how sexual conflict shapes aquatic communities. The team will use an inclusion and equity-centered approach to engage a diverse cohort of undergraduate and graduate students in research, with a major goal of promoting student success and retention in STEM. This approach will include multiple metrics to quantify the effects of participation in the research program on student success.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/08/2024

08/08/2024

None

Grant

47.074

1

4900

4900

2414579

{'FirstName': 'Ingo', 'LastName': 'Schlupp', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ingo Schlupp', 'EmailAddress': 'schlupp@ou.edu', 'NSF_ID': '000492394', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Oklahoma Norman Campus', 'CityName': 'NORMAN', 'ZipCode': '730193003', 'PhoneNumber': '4053254757', 'StreetAddress': '660 PARRINGTON OVAL RM 301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oklahoma', 'StateCode': 'OK', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OK04', 'ORG_UEI_NUM': 'EVTSTTLCEWS5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF OKLAHOMA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Oklahoma Norman Campus', 'CityName': 'NORMAN', 'StateCode': 'OK', 'ZipCode': '730193003', 'StreetAddress': '660 PARRINGTON OVAL RM 301', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oklahoma', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'OK04'}

[{'Code': '112800', 'Text': 'Population & Community Ecology'}, {'Code': '765900', 'Text': 'Animal Behavior'}]

2024~149752

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414579.xml'}

Collaborative Research: Polymorphism, mating conflict, and the strength of top-down control in trophic cascades

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Colette St. Mary', 'PO_EMAI': 'cstmary@nsf.gov', 'PO_PHON': '7032924332'}

Animal behavior may impact ecology in ways that have lasting effects on biological diversity. In sailfin molly fish, males either court females and allow them to choose whether to mate, or harass females by making sneak mating attempts. This study will address how this common behavioral feature of populations, the maintenance of alternative mating strategies, affects the communities with which they interact? This work addresses whether the frequency of each male type impacts females’ ability to feed on zooplankton. If sneakers are common, females may forage less because of mating harassment, which may increase zooplankton abundance and decrease the phytoplankton that zooplankton eat. In this case, courters may succeed in clear water because their displays are visible, whereas sneakers may have an advantage in turbid water because females cannot see them as easily. Thus, the hypothesized trophic cascade is predicted to make the water clearer, which may, in turn, favoring courting males. If the frequency of courters increases, females may forage more, reducing zooplankton, increasing phytoplankton, and increasing turbidity, and favoring sneaking males. This behavior-ecology feedback cycle may thereby preserve both male types while driving variation at the community level. The proposed work will foster student engagement by building inclusivity-focused collaboration involving multiple institutions and allowing for opportunities to gain meaningful skills in studying behavioral and community ecology. The impacts and outreach include quantifying the effects of hands-on research on student success and sense of belonging and disseminating information about the importance of “eco-evolutionary dynamics”, a process key to the maintenance of biological variation in natural populations, using work on a charismatic and familiar species. Participants will gain direct research and mentorship skills while interacting with peers and mentors from three institutions. The team will publish and present findings and engage in outreach and activities with local organizations committed to enhancing science literacy among the public.<br/><br/>The primary goal of this study is to use an eco-evolutionary framework to investigate the effects of variation in mating harassment on top-down ecological control. The study will use the sailfin molly (Poecilia latipinna), a poeciliid fish which exhibits size-dependent sexual polymorphism: small males sneak copulations whereas large males court females. Females are the primary foragers in this system. The work specifically addresses whether mating harassment can perturb top-down ecological control by reducing female foraging rates. The experimental design employs mesocosms with differing morph frequencies to generate different levels of mating harassment. A higher frequency of sneakers is predicted to reduce top-down control, whereas a higher frequency of courters is predicted to increase top-down control. The subsequent effects on the trophic cascade may result in turbidity changes that generate fluctuating selection pressures alternately favoring courting and sneaking morphs, thereby maintaining the polymorphism. The proposed research will provide novel insights into how sexual conflict shapes aquatic communities. The team will use an inclusion and equity-centered approach to engage a diverse cohort of undergraduate and graduate students in research, with a major goal of promoting student success and retention in STEM. This approach will include multiple metrics to quantify the effects of participation in the research program on student success.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/08/2024

08/08/2024

None

Grant

47.074

1

4900

4900

2414580

{'FirstName': 'Eric', 'LastName': 'Palkovacs', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric P Palkovacs', 'EmailAddress': 'epalkova@ucsc.edu', 'NSF_ID': '000555597', 'StartDate': '08/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Santa Cruz', 'CityName': 'SANTA CRUZ', 'ZipCode': '950641077', 'PhoneNumber': '8314595278', 'StreetAddress': '1156 HIGH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'CA19', 'ORG_UEI_NUM': 'VXUFPE4MCZH5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA SANTA CRUZ', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Santa Cruz', 'CityName': 'SANTA CRUZ', 'StateCode': 'CA', 'ZipCode': '950641077', 'StreetAddress': '1156 HIGH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'CA19'}

{'Code': '765900', 'Text': 'Animal Behavior'}

2024~160771

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414580.xml'}

SHF: Small: End-to-End Formal Verification of Concurrent C Programs

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Anindya Banerjee', 'PO_EMAI': 'abanerje@nsf.gov', 'PO_PHON': '7032927885'}

The C programming language is widely used in both the basic software that makes computers work, and in high-performance applications that need to perform many computations at the same time (concurrently). Unfortunately, C code is highly error-prone, and concurrent C code is even more so. The goal of this project is to guarantee that concurrent C programs always run correctly by developing tools for mathematically proving the correctness of those programs. The project’s novelties are the development of an end-to-end toolchain for concurrent C programs, with interactive and automatic proof tools at the top, a precise model of the behavior of concurrent C programs (including the latest high-performance concurrency features) in the middle, and a formal connection to the code that the computer actually executes at the bottom. The project’s impacts are more reliable software and a reduction in software failures, including those that lead to lost productivity, privacy and security breaches, and even physical safety incidents (for instance, due to bugs in car software).<br/><br/>The project builds on the newest version of the Verified Software Toolchain (VST), a tool for proving that C programs meet specifications written in separation logic. Notably, VST is formally connected to the CompCert verified compiler, so that programs verified in VST are mathematically guaranteed to compile to assembly code with the desired behavior. The project extends VST in two directions. First, it integrates RefinedC, an annotation-based verifier for C based on the Iris separation logic framework; the newest version of VST also rests on Iris foundations, so the investigator will reimplement RefinedC’s annotations in VST and extend them to more features of the C language, yielding a semi-automatic end-to-end verification system for C programs. Second, the project extends VST’s logic and foundational guarantees to concurrent programs, including those that use the atomic operations introduced in the C11 standard. This includes both sequentially consistent operations (where each memory address appears to contain a single value) and, ultimately, weak-memory operations (where different threads may see different values at the same address). The end result is a complete toolchain for guaranteeing that high-performance concurrent C programs meet their specifications when compiled and run.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/24/2024

07/24/2024

None

Grant

47.070

1

4900

4900

2414582

{'FirstName': 'William', 'LastName': 'Mansky', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William Mansky', 'EmailAddress': 'mansky1@uic.edu', 'NSF_ID': '000779474', 'StartDate': '07/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Illinois at Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606124305', 'PhoneNumber': '3129962862', 'StreetAddress': '809 S MARSHFIELD AVE M/C 551', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'IL07', 'ORG_UEI_NUM': 'W8XEAJDKMXH3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Illinois at Chicago', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606124305', 'StreetAddress': '809 S MARSHFIELD AVE M/C 551', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'IL07'}

{'Code': '779800', 'Text': 'Software & Hardware Foundation'}

2024~600000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414582.xml'}

Integrating Remote Sensing and Deep Learning for Predictive Surveillance of Mine Tailings Impoundments

NSF

10/01/2023

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Giovanna Biscontin', 'PO_EMAI': 'gibiscon@nsf.gov', 'PO_PHON': '7032922339'}

The impacts of climate change have led to an increase in extreme weather events, posing significant challenges to infrastructure resilience and community well-being. Research supported by this Disaster Resilience Research Grant (DRRG) project addresses the critical need to monitor and maintain existing infrastructure in the face of these challenges. Specifically, it focuses on mine tailings impoundments, massive geotechnical structures that store mining waste. The failure of these structures during extreme weather events can cause environmental damage and loss of life. By leveraging satellite imagery analysis, weather data, and deep learning techniques, this project aims to establish a standard monitoring approach for mine tailings impoundments and revolutionize infrastructure monitoring and hazard management. The outcomes will enable the identification of movements within these structures and provide a predictive understanding of failure probability, allowing us to act proactively and prevent disasters. This monitoring approach will enhance community resilience, support hazard management, and establish critical risk profiles for surrounding areas.<br/><br/>The research aims to develop standards for monitoring mine tailings impoundments following their exposure to extreme weather events. The project's research objectives include: (i) analyzing the utility of satellite-based radar stacking techniques and moisture estimates to characterize the temporal performance of mine tailings impoundments; (ii) utilizing geotechnical engineering concepts and satellite observations to characterize the life-cycle of the mine tailings impoundments; (iii) developing standards for monitoring the failure risk profile of mine tailings impoundments utilizing deep learning models applied to satellite observations, environmental data, and extreme event information. By advancing our knowledge in this area, the project has interdisciplinary implications for remote sensing, geoengineering, computer science, and natural hazards engineering. Fusing these disciplines will result in a cost-effective and nonintrusive monitoring methodology that can reduce the consequences of infrastructure failures and provide timely warnings to mitigate hazards. The project's broader impacts include fostering the development of a diverse STEM workforce, improving community safety, and ensuring accessibility to potential end-users through conferences, journals, and online platforms. The ultimate goal is to prevent future disasters and enhance the well-being of both humans and anthropogenic infrastructure.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/04/2024

06/24/2024

None

Grant

47.041

1

4900

4900

2414588

{'FirstName': 'Thomas', 'LastName': 'Oommen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas Oommen', 'EmailAddress': 'toommen@olemiss.edu', 'NSF_ID': '000573263', 'StartDate': '01/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Mississippi', 'CityName': 'UNIVERSITY', 'ZipCode': '386779704', 'PhoneNumber': '6629157482', 'StreetAddress': '113 FALKNER', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Mississippi', 'StateCode': 'MS', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MS01', 'ORG_UEI_NUM': 'G1THVER8BNL4', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF MISSISSIPPI', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Mississippi', 'CityName': 'UNIVERSITY', 'StateCode': 'MS', 'ZipCode': '386779704', 'StreetAddress': '113 FALKNER', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Mississippi', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MS01'}

[{'Code': '150400', 'Text': 'GOALI-Grnt Opp Acad Lia wIndus'}, {'Code': '198Y00', 'Text': 'DRRG-Disaster Resilience Res G'}]

['2023~399475', '2024~71000']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414588.xml'}

CreativeAI: A Workshop Proposal for Promoting Culturally and Critically Responsive Creative AI in K-12 Education

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '11090000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DRL', 'LongName': 'Division Of Research On Learning'}}

{'SignBlockName': 'Chia Shen', 'PO_EMAI': 'cshen@nsf.gov', 'PO_PHON': '7032928447'}

Over the past decade there has been an exponential growth in artificial intelligence (AI) and machine learning (ML) applications that are moving out of the lab into the world and impacting everyday lives. Consequently, there has also been increased attention to harmful algorithmic biases in AI/ML applications. As such, it is critical to prepare K–12 students and teachers to go beyond using AI/ML applications and be able to comprehend, design, implement, and evaluate AI applications. This conference project will convene workshop meetings and panel presentations with researchers and practitioners to better understand how learners can engage with AI/ML creatively. Creative AI refers to the use of AI tools and methods for creative expression, that is, involving students not just in using AI productively but also as creators who can design and build projects with AI/ML. This workshop focuses on impact areas of tool design, ethics, learning, teaching and assessment to examine the role of creative AI in K-12 education. The interdisciplinary project team with expertise in computing education, tool development, learning sciences, culturally relevant pedagogy, and developmental psychology will convene workshop meetings in Fall 2024 and Spring 2025 to share main approaches, identify critical issues, and outline promising directions. The workshop will involve educators and include mentoring meetings with advanced graduate students and early career researchers.<br/><br/>Workshop meetings will investigate the role of creative AI in K-12 education and carry out the following activities: (1) identifying potential connections (as well as differences) to computational thinking; (2) examining grade-appropriate pedagogical designs that can promote understanding and discussions of ethical concerns; and (3) developing an outline that articulates directions for learning AI/ML and teaching of creative AI. This workshop will contribute to research on the design of toolkits and applications, on how to support students learning AI/ML, and discussion points around algorithmic justice and fairness. Outcomes of the workshop will include (a) an online report that will identify guidelines for promising educational tools, pedagogies, activities and research directions and (b) public panels at educators’ conferences to share findings with educational practitioners. Dissemination efforts will target K-12 researchers, designers and policy makers concerned with computing and STEM education. This conference project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts, and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/26/2024

07/26/2024

None

Grant

47.076

1

4900

4900

2414590

{'FirstName': 'Yasmin', 'LastName': 'Kafai', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yasmin B Kafai', 'EmailAddress': 'kafai@upenn.edu', 'NSF_ID': '000321397', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046205', 'StreetAddress': '3451 WALNUT ST STE 440A', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '722700', 'Text': 'ITEST-Inov Tech Exp Stu & Teac'}

2024~95684

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414590.xml'}

Conference: Electronic Structure Workshop (ES24)

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Serdar Ogut', 'PO_EMAI': 'sogut@nsf.gov', 'PO_PHON': '7032924429'}

This award supports participation of students and speakers at the 36th Annual Workshop on Recent Developments in Electronic Structure Theory, which will be held at Boston University in June 2023. This will be an in-person meeting with approximately 100-150 participants including graduate students, postdoctoral fellows, and junior and senior researchers from colleges, universities, and laboratories around the world. The workshop will facilitate the exchange of ideas between junior and senior researchers in electronic structure theory and serve as an opportunity for creating new collaborations. The workshop will focus on the latest developments in electronic structure theory and computational materials science. The simulation techniques covered by the workshop are used across a variety of fields including physics, chemistry, and materials science, both in academia and in industry.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/02/2024

04/02/2024

None

Grant

47.049

1

4900

4900

2414597

{'FirstName': 'Sahar', 'LastName': 'Sharifzadeh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sahar Sharifzadeh', 'EmailAddress': 'ssharifz@bu.edu', 'NSF_ID': '000691681', 'StartDate': '04/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'ZipCode': '022151703', 'PhoneNumber': '6173534365', 'StreetAddress': '1 SILBER WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'THL6A6JLE1S7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF BOSTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '022151703', 'StreetAddress': '1 SILBER WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '1765', 'Text': 'CONDENSED MATTER & MAT THEORY'}

2024~19995

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414597.xml'}

Land-Atmosphere Interactions in Flash Drought Development

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '06020100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Nicholas Anderson', 'PO_EMAI': 'nanderso@nsf.gov', 'PO_PHON': '7032924715'}

Flash droughts are characterized by the sudden onset and rapid intensification of drought conditions. Large-scale atmospheric and oceanic patterns are well-known to set the stage for drought, but land-atmosphere interactions can play an important role in exacerbating those conditions. This research seeks to understand the role of land surface feedback in flash drought development and explain how flash drought is distinguished from conventional drought through rapid intensification. These events can have substantial agricultural and economic consequences. This award will produce research that may contribute to improved forecasting of flash droughts at the subseasonal and seasonal scales. The project also includes the promotion of science literacy and training of multiple students.<br/><br/>The overarching science question of this project is: What is the role of the land surface (soil moisture and vegetation) in modulating flash drought development in the contiguous United States? The research team hypothesizes that: 1) Atmospheric synoptic conditions play a major role in conventional droughts, but land atmosphere interactions can accelerate the drought intensification, leading to flash droughts, and 2) Impacts of land-atmosphere interactions on flash drought occur at both local and mesoscale through drought self-intensification and drought self-propagation, respectively. To address these hypotheses, the PIs plan to characterize flash droughts in the past several decades using multiple drought indicators, investigate the role of atmospheric conditions and land-surface feedback in flash drought development, evaluate flash droughts in an existing 40-year regional climate hindcast, and explore land-atmosphere interactions in new numerical modeling runs.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/09/2024

08/09/2024

None

Grant

47.050

1

4900

4900

2414601

[{'FirstName': 'Rezaul', 'LastName': 'Mahmood', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rezaul Mahmood', 'EmailAddress': 'rmahmood2@unl.edu', 'NSF_ID': '000148858', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Liang', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Liang Chen', 'EmailAddress': 'lchen45@unl.edu', 'NSF_ID': '000811557', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Tirthankar', 'LastName': 'Roy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tirthankar Roy', 'EmailAddress': 'roy@unl.edu', 'NSF_ID': '000828778', 'StartDate': '08/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Nebraska-Lincoln', 'CityName': 'LINCOLN', 'ZipCode': '685032427', 'PhoneNumber': '4024723171', 'StreetAddress': '2200 VINE ST # 830861', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nebraska', 'StateCode': 'NE', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NE01', 'ORG_UEI_NUM': 'HTQ6K6NJFHA6', 'ORG_LGL_BUS_NAME': 'BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASKA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Nebraska-Lincoln', 'CityName': 'LINCOLN', 'StateCode': 'NE', 'ZipCode': '685032427', 'StreetAddress': '2200 VINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nebraska', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NE01'}

[{'Code': '152500', 'Text': 'Physical & Dynamic Meteorology'}, {'Code': '689700', 'Text': 'AGS-ATM & Geospace Sciences'}]

2024~582109

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414601.xml'}

Collaborative Research: FuSe: Efficient Situation-Aware AI Processing in Advanced 2-Terminal SOT-MRAM

NSF

10/01/2023

09/30/2026

{'Value': 'Continuing Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Sankar Basu', 'PO_EMAI': 'sabasu@nsf.gov', 'PO_PHON': '7032927843'}

The amount of data required to be analyzed by computing systems has been increasing drastically to exascale (i.e., billions of gigabytes) and beyond. Meanwhile, owing to the boom in artificial intelligence (AI), especially Deep Neural Network (DNN), there is a need for high performance, efficient, fast, and adaptive AI-based big data processing systems. However, those requirements are not sufficiently met by existing computing solutions due to the power-wall in silicon-based semiconductor devices, memory-wall in traditional Von-Neuman computing architecture, and ultra computation- and memory-intensive DNN-based AI algorithms. This project brings together an interdisciplinary group of researchers, with expertise spanning from material science, device fabrication, integrated circuit design, computer architecture, and AI algorithms to undertake innovative device-circuit-algorithm co-design for developing an AI Processing-In-Memory (AI-PIM) system that could leverage the emerging non-volatile magnetic memory technology to implement efficient AI data processing, as well as situation-aware on-chip continual learning. This project targets to significantly improve the AI data processing energy efficiency, with 100X higher efficiency than that of state-of-the-art Graph Processing Units (GPUs). The project will greatly benefit various application areas, such as autonomous driving, robotics, personalized cognitive speech, and smart connected health, etc. This project will also involve education and workforce development activities, including K-12 STEM outreach, undergraduate/graduate training, curriculum development in semiconductor, semiconductor industry internship mentoring, cleanroom fab internships, advance integrated circuit design courses. It will also encourage broader participation of female and under-represented minorities in the microelectronics and semiconductor chip industry. <br/><br/>This project will advance knowledge and conduct cross-layer research spanning from emerging Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) material, device, circuit, architecture, to AI algorithm exploration with three main interweaved thrusts. Thrust 1 will explore unconventional spins in SOT materials, e.g., MnPd3, and novel device geometry to fabricate a new design of 2-terminal SOT-MRAM, which simultaneously delivers unlimited endurance, nano-seconds programming time, very high cell density, deterministic programming without external magnetic field, zero leakage, and non-volatility. Leveraging the developed 2-terminal SOT-MRAM, Thrust 2 will design and tape-out an AI Processing-in-Memory (PIM) chip to implement fully digital ‘in-memory sparse multiplication-and-accumulation (MAC)’ operations that support both forward and backward computations of neural networks. Following a co-design methodology, Thrust 3 will first investigate automated network architecture search methods to construct AI model best suitable for given situation while considering our AI-PIM system constraint. This thrust will further develop novel PIM-friendly, compute- and memory-efficient, situation-aware continual learning algorithms that could minimize the power-hungry on-chip weight update (i.e., memory write) complexity, while learning new situation- and user-specific data.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

02/16/2024

02/16/2024

None

Grant

47.070, 47.084

1

4900

4900

2414603

{'FirstName': 'Deliang', 'LastName': 'Fan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Deliang Fan', 'EmailAddress': 'dfan10@jhu.edu', 'NSF_ID': '000699728', 'StartDate': '02/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

[{'Code': '216Y00', 'Text': 'FuSe-Future of Semiconductors'}, {'Code': '241Y00', 'Text': 'NSF-Intel Semiconductr Partnrs'}, {'Code': '254Y00', 'Text': 'NSF-Samsung Partnership'}]

2023~224413

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414603.xml'}

Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)

NSF

05/01/2024

04/30/2029

{'Value': 'Continuing Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Jody Chase', 'PO_EMAI': 'lchase@nsf.gov', 'PO_PHON': '7032925173'}

A goal of the Tribal Colleges and Universities Program (TCUP) is to increase the science, technology, engineering and mathematics (STEM) instructional and research capacities of specific institutions of higher education that serve the Nation's indigenous students. Expanding the STEM curricular offerings at these institutions expands the opportunities for their students to pursue challenging, rewarding careers in STEM fields, provides for research studies in areas that may be culturally significant, and encourages a community and generational appreciation for science and mathematics education. This project aligns directly with that goal, allowing the institutions to design and develop a comprehensive plan for improving and expanding STEM instruction, and moreover may serve as a model and impetus for similar institutions of higher education to develop collaborative degree programs. It further supports the participating colleges’ missions to provide STEM instruction that is grounded in traditional culture and values specific to the communities they serve.<br/><br/>The TCUP Cyber Consortium Advancing Computer Science Education (TCACSE) improves the computer science and cybersecurity training for regional workforces in the communities served by Turtle Mountain Community College (TMCC), United Tribes Technical College (UTTC), Windward Community College (WCC), Sitting Bull College (SBC), and Little Priest Tribal College. The project is building and enhancing computer science curricula that improve the fundamental skills of critical thinking, problem-solving, coding, and collaboration used in academic or research activities, and building capacity to support education and research in computing related fields of national interest, such as cybersecurity, artificial intelligence, data science, and computer science education. The collaborative project is bridging the gap between Tribal education, workforce, and U.S. cybersecurity needs by building a supportive model for cyber education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/12/2024

04/12/2024

None

Grant

47.076

1

4900

4900

2414604

{'FirstName': 'Chad', 'LastName': 'Davis', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chad J Davis', 'EmailAddress': 'cdavis@tm.edu', 'NSF_ID': '000759557', 'StartDate': '04/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Turtle Mountain Community College', 'CityName': 'BELCOURT', 'ZipCode': '583163809', 'PhoneNumber': '7014777978', 'StreetAddress': '10145 BIA ROAD 7', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Dakota', 'StateCode': 'ND', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'ND00', 'ORG_UEI_NUM': 'WJ4UTAWA6J14', 'ORG_LGL_BUS_NAME': 'TURTLE MOUNTAIN COMMUNITY COLLEGE', 'ORG_PRNT_UEI_NUM': 'TMQVTNN6YJF7'}

{'Name': 'Turtle Mountain Community College', 'CityName': 'BELCOURT', 'StateCode': 'ND', 'ZipCode': '583163809', 'StreetAddress': '10145 BIA ROAD 7', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Dakota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'ND00'}

{'Code': '174400', 'Text': 'Tribal College & Univers Prog'}

2024~1208219

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414604.xml'}

Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)

NSF

05/01/2024

04/30/2029

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Jody Chase', 'PO_EMAI': 'lchase@nsf.gov', 'PO_PHON': '7032925173'}

A goal of the Tribal Colleges and Universities Program (TCUP) is to increase the science, technology, engineering and mathematics (STEM) instructional and research capacities of specific institutions of higher education that serve the Nation's indigenous students. Expanding the STEM curricular offerings at these institutions expands the opportunities for their students to pursue challenging, rewarding careers in STEM fields, provides for research studies in areas that may be culturally significant, and encourages a community and generational appreciation for science and mathematics education. This project aligns directly with that goal, allowing the institutions to design and develop a comprehensive plan for improving and expanding STEM instruction, and moreover may serve as a model and impetus for similar institutions of higher education to develop collaborative degree programs. It further supports the participating colleges’ missions to provide STEM instruction that is grounded in traditional culture and values specific to the communities they serve.<br/><br/>The TCUP Cyber Consortium Advancing Computer Science Education (TCACSE) improves the computer science and cybersecurity training for regional workforces in the communities served by Turtle Mountain Community College (TMCC), United Tribes Technical College (UTTC), Windward Community College (WCC), Sitting Bull College (SBC), and Little Priest Tribal College. The project is building and enhancing computer science curricula that improve the fundamental skills of critical thinking, problem-solving, coding, and collaboration used in academic or research activities, and building capacity to support education and research in computing related fields of national interest, such as cybersecurity, artificial intelligence, data science, and computer science education. The collaborative project is bridging the gap between Tribal education, workforce, and U.S. cybersecurity needs by building a supportive model for cyber education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/12/2024

04/12/2024

None

Grant

47.076

1

4900

4900

2414605

{'FirstName': 'Jeremy', 'LastName': 'Guinn', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeremy E Guinn', 'EmailAddress': 'jguinn@uttc.edu', 'NSF_ID': '000246097', 'StartDate': '04/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'United Tribes Technical College', 'CityName': 'BISMARCK', 'ZipCode': '585047554', 'PhoneNumber': '7012553285', 'StreetAddress': '3315 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Dakota', 'StateCode': 'ND', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'ND00', 'ORG_UEI_NUM': 'G81MSXW3MJR3', 'ORG_LGL_BUS_NAME': 'UNITED TRIBES TECHNICAL COLLEGE', 'ORG_PRNT_UEI_NUM': 'G81MSXW3MJR3'}

{'Name': 'United Tribes Technical College', 'CityName': 'BISMARCK', 'StateCode': 'ND', 'ZipCode': '585047554', 'StreetAddress': '3315 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Dakota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'ND00'}

{'Code': '174400', 'Text': 'Tribal College & Univers Prog'}

2024~817578

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414605.xml'}

Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)

NSF

05/01/2024

04/30/2029

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Jody Chase', 'PO_EMAI': 'lchase@nsf.gov', 'PO_PHON': '7032925173'}

A goal of the Tribal Colleges and Universities Program (TCUP) is to increase the science, technology, engineering and mathematics (STEM) instructional and research capacities of specific institutions of higher education that serve the Nation's indigenous students. Expanding the STEM curricular offerings at these institutions expands the opportunities for their students to pursue challenging, rewarding careers in STEM fields, provides for research studies in areas that may be culturally significant, and encourages a community and generational appreciation for science and mathematics education. This project aligns directly with that goal, allowing the institutions to design and develop a comprehensive plan for improving and expanding STEM instruction, and moreover may serve as a model and impetus for similar institutions of higher education to develop collaborative degree programs. It further supports the participating colleges’ missions to provide STEM instruction that is grounded in traditional culture and values specific to the communities they serve.<br/><br/>The TCUP Cyber Consortium Advancing Computer Science Education (TCACSE) improves the computer science and cybersecurity training for regional workforces in the communities served by Turtle Mountain Community College (TMCC), United Tribes Technical College (UTTC), Windward Community College (WCC), Sitting Bull College (SBC), and Little Priest Tribal College. The project is building and enhancing computer science curricula that improve the fundamental skills of critical thinking, problem-solving, coding, and collaboration used in academic or research activities, and building capacity to support education and research in computing related fields of national interest, such as cybersecurity, artificial intelligence, data science, and computer science education. The collaborative project is bridging the gap between Tribal education, workforce, and U.S. cybersecurity needs by building a supportive model for cyber education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/12/2024

04/12/2024

None

Grant

47.076

1

4900

4900

2414606

{'FirstName': 'David', 'LastName': 'Krupp', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David A Krupp', 'EmailAddress': 'krupp@hawaii.edu', 'NSF_ID': '000461403', 'StartDate': '04/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Hawaii', 'CityName': 'HONOLULU', 'ZipCode': '968222247', 'PhoneNumber': '8089567800', 'StreetAddress': '2425 CAMPUS RD SINCLAIR RM 1', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Hawaii', 'StateCode': 'HI', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'HI01', 'ORG_UEI_NUM': 'NSCKLFSSABF2', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HAWAII', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Windward Community College', 'CityName': 'Kaneohe', 'StateCode': 'HI', 'ZipCode': '967443528', 'StreetAddress': '45-720 Keaahala RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Hawaii', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'HI02'}

{'Code': '174400', 'Text': 'Tribal College & Univers Prog'}

2024~824999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414606.xml'}

Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)

NSF

05/01/2024

04/30/2029

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Jody Chase', 'PO_EMAI': 'lchase@nsf.gov', 'PO_PHON': '7032925173'}

A goal of the Tribal Colleges and Universities Program (TCUP) is to increase the science, technology, engineering and mathematics (STEM) instructional and research capacities of specific institutions of higher education that serve the Nation's indigenous students. Expanding the STEM curricular offerings at these institutions expands the opportunities for their students to pursue challenging, rewarding careers in STEM fields, provides for research studies in areas that may be culturally significant, and encourages a community and generational appreciation for science and mathematics education. This project aligns directly with that goal, allowing the institutions to design and develop a comprehensive plan for improving and expanding STEM instruction, and moreover may serve as a model and impetus for similar institutions of higher education to develop collaborative degree programs. It further supports the participating colleges’ missions to provide STEM instruction that is grounded in traditional culture and values specific to the communities they serve.<br/><br/>The TCUP Cyber Consortium Advancing Computer Science Education (TCACSE) improves the computer science and cybersecurity training for regional workforces in the communities served by Turtle Mountain Community College (TMCC), United Tribes Technical College (UTTC), Windward Community College (WCC), Sitting Bull College (SBC), and Little Priest Tribal College. The project is building and enhancing computer science curricula that improve the fundamental skills of critical thinking, problem-solving, coding, and collaboration used in academic or research activities, and building capacity to support education and research in computing related fields of national interest, such as cybersecurity, artificial intelligence, data science, and computer science education. The collaborative project is bridging the gap between Tribal education, workforce, and U.S. cybersecurity needs by building a supportive model for cyber education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/12/2024

04/12/2024

None

Grant

47.076

1

4900

4900

2414607

{'FirstName': 'Gabriella', 'LastName': 'Arellano', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gabriella Arellano', 'EmailAddress': 'Gabriella.Arellano@sittingbull.edu', 'NSF_ID': '000990066', 'StartDate': '04/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Sitting Bull College', 'CityName': 'FORT YATES', 'ZipCode': '585389706', 'PhoneNumber': '7018548000', 'StreetAddress': '9299 HIGHWAY 24', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Dakota', 'StateCode': 'ND', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'ND00', 'ORG_UEI_NUM': 'KKWNJ9254C26', 'ORG_LGL_BUS_NAME': 'SITTING BULL COLLEGE', 'ORG_PRNT_UEI_NUM': 'KKWNJ9254C26'}

{'Name': 'Sitting Bull College', 'CityName': 'FORT YATES', 'StateCode': 'ND', 'ZipCode': '585389706', 'StreetAddress': '9299 HIGHWAY 24', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Dakota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'ND00'}

{'Code': '174400', 'Text': 'Tribal College & Univers Prog'}

2024~898948

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414607.xml'}

Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)

NSF

05/01/2024

04/30/2029

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Jody Chase', 'PO_EMAI': 'lchase@nsf.gov', 'PO_PHON': '7032925173'}

A goal of the Tribal Colleges and Universities Program (TCUP) is to increase the science, technology, engineering and mathematics (STEM) instructional and research capacities of specific institutions of higher education that serve the Nation's indigenous students. Expanding the STEM curricular offerings at these institutions expands the opportunities for their students to pursue challenging, rewarding careers in STEM fields, provides for research studies in areas that may be culturally significant, and encourages a community and generational appreciation for science and mathematics education. This project aligns directly with that goal, allowing the institutions to design and develop a comprehensive plan for improving and expanding STEM instruction, and moreover may serve as a model and impetus for similar institutions of higher education to develop collaborative degree programs. It further supports the participating colleges’ missions to provide STEM instruction that is grounded in traditional culture and values specific to the communities they serve.<br/><br/>The TCUP Cyber Consortium Advancing Computer Science Education (TCACSE) improves the computer science and cybersecurity training for regional workforces in the communities served by Turtle Mountain Community College (TMCC), United Tribes Technical College (UTTC), Windward Community College (WCC), Sitting Bull College (SBC), and Little Priest Tribal College. The project is building and enhancing computer science curricula that improve the fundamental skills of critical thinking, problem-solving, coding, and collaboration used in academic or research activities, and building capacity to support education and research in computing related fields of national interest, such as cybersecurity, artificial intelligence, data science, and computer science education. The collaborative project is bridging the gap between Tribal education, workforce, and U.S. cybersecurity needs by building a supportive model for cyber education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/12/2024

04/12/2024

None

Grant

47.076

1

4900

4900

2414608

{'FirstName': 'Loretta', 'LastName': 'Broberg', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Loretta L Broberg', 'EmailAddress': 'loretta.broberg@littlepriest.edu', 'NSF_ID': '000991009', 'StartDate': '04/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Little Priest Tribal College', 'CityName': 'WINNEBAGO', 'ZipCode': '680715070', 'PhoneNumber': '4028782380', 'StreetAddress': '601 E COLLEGE DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nebraska', 'StateCode': 'NE', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'NE03', 'ORG_UEI_NUM': 'DJ6SE47SNJK1', 'ORG_LGL_BUS_NAME': 'WINNEBAGO TRIBE OF NEBRASKA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Little Priest Tribal College', 'CityName': 'WINNEBAGO', 'StateCode': 'NE', 'ZipCode': '680715070', 'StreetAddress': '601 E COLLEGE DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nebraska', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'NE03'}

{'Code': '174400', 'Text': 'Tribal College & Univers Prog'}

2024~750256

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414608.xml'}

Collaborative Research: Illumination of Smc5/6 management of DNA repair intermediate structures

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Manju Hingorani', 'PO_EMAI': 'mhingora@nsf.gov', 'PO_PHON': '7032927323'}

The massive amounts of genomic DNA in the cell must undergo major structural transformations when genetic information is replicated or repaired. During these processes, branch-shaped DNA structures are formed as intermediates and then are processed into linear DNA products. Many protein factors collaborate during the formation and processing of different types of branched DNA structures. How many of these proteins interact with branched DNAs and enable their processing is not clear. The objective of this collaborative project is to determine how a genome-protecting complex called Smc5/6 manages various branched DNA structures. The two research teams will combine biochemical and biophysical expertise to achieve high-resolution understanding of Smc5/6 structure and function. The outcomes will advance knowledge of how cells quickly resolve DNA repair intermediates to ensure genome integrity. In addition, the project will have educational impact through workshops that cultivate interest in DNA and genome research among middle-high school students and teachers, as well as interdisciplinary research training opportunities for undergraduate and graduate students.<br/> <br/>Smc5/6 is emerging as an important and highly conserved protein complex that is required for the processing of DNA repair intermediates. However, the mechanism of action of Smc5/6, including its interactions with branched DNA structures is poorly understood. This study will provide critical insights into the molecular functions of Smc5/6. Specifically, the two research teams will examine how Smc5/6 recognizes Holliday junction recombinational repair intermediates and R-loop RNA-DNA hybrid structures, using complementary biochemical and high-speed atomic force microscopy (HS-AFM) methodologies. In addition, HS-AFM imaging will be used to directly observe the sequential steps whereby DNA helicases resolve these structures and how Smc5/6 affects these steps. By integrating dynamic HS-AFM data with biochemical data, the project has potential to provide novel insights into DNA repair. Given the importance of Smc5/6 in genome maintenance and its evolutionary conservation in eukaryotes, this new knowledge could illuminate DNA repair mechanisms in diverse organisms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.074

1

4900

4900

2414612

{'FirstName': 'Hong', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hong Wang', 'EmailAddress': 'hong_wang@ncsu.edu', 'NSF_ID': '000620494', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'ZipCode': '276950001', 'PhoneNumber': '9195152444', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NC02', 'ORG_UEI_NUM': 'U3NVH931QJJ3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NVH931QJJ3'}

{'Name': 'North Carolina State University', 'CityName': 'Raleigh', 'StateCode': 'NC', 'ZipCode': '276957214', 'StreetAddress': '2401 Stinson Drive', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NC02'}

{'Code': '111200', 'Text': 'Genetic Mechanisms'}

2024~329172

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414612.xml'}

Collaborative Research: Illumination of Smc5/6 management of DNA repair intermediate structures

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Manju Hingorani', 'PO_EMAI': 'mhingora@nsf.gov', 'PO_PHON': '7032927323'}

The massive amounts of genomic DNA in the cell must undergo major structural transformations when genetic information is replicated or repaired. During these processes, branch-shaped DNA structures are formed as intermediates and then are processed into linear DNA products. Many protein factors collaborate during the formation and processing of different types of branched DNA structures. How many of these proteins interact with branched DNAs and enable their processing is not clear. The objective of this collaborative project is to determine how a genome-protecting complex called Smc5/6 manages various branched DNA structures. The two research teams will combine biochemical and biophysical expertise to achieve high-resolution understanding of Smc5/6 structure and function. The outcomes will advance knowledge of how cells quickly resolve DNA repair intermediates to ensure genome integrity. In addition, the project will have educational impact through workshops that cultivate interest in DNA and genome research among middle-high school students and teachers, as well as interdisciplinary research training opportunities for undergraduate and graduate students.<br/> <br/>Smc5/6 is emerging as an important and highly conserved protein complex that is required for the processing of DNA repair intermediates. However, the mechanism of action of Smc5/6, including its interactions with branched DNA structures is poorly understood. This study will provide critical insights into the molecular functions of Smc5/6. Specifically, the two research teams will examine how Smc5/6 recognizes Holliday junction recombinational repair intermediates and R-loop RNA-DNA hybrid structures, using complementary biochemical and high-speed atomic force microscopy (HS-AFM) methodologies. In addition, HS-AFM imaging will be used to directly observe the sequential steps whereby DNA helicases resolve these structures and how Smc5/6 affects these steps. By integrating dynamic HS-AFM data with biochemical data, the project has potential to provide novel insights into DNA repair. Given the importance of Smc5/6 in genome maintenance and its evolutionary conservation in eukaryotes, this new knowledge could illuminate DNA repair mechanisms in diverse organisms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.074

1

4900

4900

2414613

{'FirstName': 'Xiaolan', 'LastName': 'Zhao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaolan Zhao', 'EmailAddress': 'zhaox1@mskcc.org', 'NSF_ID': '000793789', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Sloan Kettering Institute For Cancer Research', 'CityName': 'NEW YORK', 'ZipCode': '100656007', 'PhoneNumber': '6462273273', 'StreetAddress': '1275 YORK AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'KUKXRCZ6NZC2', 'ORG_LGL_BUS_NAME': 'SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Sloan Kettering Institute For Cancer Research', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100656007', 'StreetAddress': '1275 YORK AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}

{'Code': '111200', 'Text': 'Genetic Mechanisms'}

2024~166688

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414613.xml'}

Urban Greening and Air Quality

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '06020100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Sylvia Edgerton', 'PO_EMAI': 'sedgerto@nsf.gov', 'PO_PHON': '7032928522'}

This investigation of atmospheric emissions from trees in urban areas will help determine which trees are more likely to act as a source or a sink of air pollutants. Gaseous emissions from urban trees can contribute to the formation of secondary air pollutants, such as ozone and secondary organic aerosol, while urban trees can also provide leaf surfaces for dry deposition serving as a sink for atmospheric particulate matter. Information about which trees are best to plant to help reduce air pollution can inform decisions about tree planting in parks and urban areas.<br/><br/>This project includes both field measurements and laboratory experiments with the objectives of assessing: (1) the uncertainties in the emission rates and composition of biogenic volatile organic compounds (BVOCs) in urban areas, and (2) the particle deposition efficiency on different types of leaves and needles (particle deposition leaf resistance). The results will provide a survey of the BVOC emission rates and composition of the top 10 major tree species located in Los Angeles parks and streets and generate a range of different particle leaf resistance values that can be integrated with a resistance framework for particle dry deposition parameterizations. Box modeling will be used to quantify the net effect of urban trees on atmospheric particle number concentrations, size distributions, and mass loadings under a range of urban greening and climate scenarios. Although the results are primarily applicable to the Los Angeles region, the data and methods of this project have broader application to other urban areas.<br/><br/>This project also will support the development, testing, implementation, and evaluation of a series of high school curriculum activities focused on urban air quality, environmental justice, and data literacy, coordinated in collaboration with the University of California at Irvine’s Center for Environmental Biology (CEB) and the Orange County Department of Education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.050

1

4900

4900

2414615

{'FirstName': 'Celia', 'LastName': 'Faiola', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Celia Faiola', 'EmailAddress': 'cfaiola@uci.edu', 'NSF_ID': '000757397', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'ZipCode': '926970001', 'PhoneNumber': '9498247295', 'StreetAddress': '160 ALDRICH HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_ORG': 'CA47', 'ORG_UEI_NUM': 'MJC5FCYQTPE6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA IRVINE', 'ORG_PRNT_UEI_NUM': 'MJC5FCYQTPE6'}

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'StateCode': 'CA', 'ZipCode': '926970001', 'StreetAddress': '463 Steinhaus Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_PERF': 'CA47'}

{'Code': '152400', 'Text': 'Atmospheric Chemistry'}

2024~480588

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414615.xml'}

Enhancing outdoor informal STEM learning for early adolescent youth through collective evaluation, capacity building, adaptive management, and comparative research

NSF

08/15/2024

12/31/2028

{'Value': 'Continuing Grant'}

{'Code': '11090000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DRL', 'LongName': 'Division Of Research On Learning'}}

{'SignBlockName': 'Leilah Lyons', 'PO_EMAI': 'llyons@nsf.gov', 'PO_PHON': '7032928637'}

Overnight outdoor education programs are a form of informal learning that emphasize learner choice, hands-on, collaborative experiences and extended opportunities for learners to engage behaviorally, cognitively, and emotionally with real world STEM phenomena outside the classroom. There has been strong evidence that these programs can have positive benefits for learners, including: environmental and science awareness and knowledge; enhanced attitudes toward the science and the environment; improved social, scientific, and cognitive skills; personal development; and improved interpersonal relationships, but historically access to these opportunities has been limited and often inequitably distributed. This is changing, with two states (Washington and Oregon) passing legislation to provide access to an overnight informal STEM outdoor educational experience for all 5th and 6th grade students enrolled in public schools. This project is filling a needed gap by studying how to develop a community of practice and systematic evaluation system for overnight outdoor education programs, using the state of Washington as a testbed. The organizations providing these programs are diverse in terms of the socioeconomic and ethnic/racial backgrounds of their attendees, their organizational size and budget, their urban or rural geographic locations, and the pedagogical design of their programs. The lessons learned and shared from this project will provide empirical evidence about more effective approaches for achieving positive outcomes for diverse students and serve as a model for developing effective communities of practice to facilitate high-quality culturally relevant evaluation and the continuous improvement of outdoor education programs. As additional states pass legislation to make outdoor education programs more accessible, these lessons will directly impact the quality of these programs for all audiences, particularly those from historically underserved communities for whom existing research is limited.<br/><br/>The project will conduct the work via several inter-linked activities aimed at meaningfully and sustainably integrating research and practice: (1) developing shared outcome measures by enlisting 20-30 overnight education providers in a participatory approach that is sensitive to local contexts and cultures, and attends to issues of race, power, privilege, and inequity; (2) setting up an evidence-based learning network to support practitioners within a community of practice as they collect data, reflect on the research, suggest ideas, and improve their programs; (3) enacting three cycles of systematic program evaluation and revision; and (4) developing case studies of eight programs purposively selected to span a range of diversity in populations, geographic locations, and organizations. The shared outcome measures will be used to conduct research to identify effective practices within programs, and the learning network will be evaluated through a lens of value creation (Wenger, 2011) via surveys, focus groups, and interviews. Results about effective outdoor education practices learned through systematic evaluations and comparative case studies, and insights into the ways evidence-based learning networks can effectively support and sustain continuous evaluation practices among outdoor education providers will be disseminated via academic and practitioner channels. This Integrating research and Practice project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/07/2024

08/07/2024

None

Grant

47.076

1

4900

4900

2414642

[{'FirstName': 'Marc', 'LastName': 'Stern', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marc J Stern', 'EmailAddress': 'mjstern@vt.edu', 'NSF_ID': '000495757', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Robert', 'LastName': 'Powell', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert B Powell', 'EmailAddress': 'rbp@clemson.edu', 'NSF_ID': '000607337', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kelley', 'LastName': 'Anderson', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kelley C Anderson', 'EmailAddress': 'kelleyan@vt.edu', 'NSF_ID': '000985533', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'M515A1DKXAN8'}

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'StateCode': 'VA', 'ZipCode': '240603359', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

{'Code': '725900', 'Text': 'AISL'}

2024~806460

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414642.xml'}

I-Corps: Translation potential of accelerating process development for additive manufacturing of metals

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Ruth Shuman', 'PO_EMAI': 'rshuman@nsf.gov', 'PO_PHON': '7032922160'}

The broader impact of this I-Corps project is the development of machine learning-based in-situ methods to monitor the metal additive manufacturing process. Currently, printing in metal alloys is difficult due to the complex processing nature of the materials and the associated physical phenomena. The variability in printing outcomes and the quality of printed parts is a major obstacle that reduces the quality of printed parts and the potential for their full production. This technology uses in-situ measurement, which allows for defect monitoring and quality assurance reporting, automatic feedback control, process parameter mapping, and an understanding of defect formation mechanisms. In addition, the solution studies processing–structure-property relationships, investigates the printability of new alloys, reduces the need for ex-situ characterization, and reduces material waste and production time by early identification of part failure.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an artificial intelligence-assisted approach to aid process development and the control of the quality of parts additively manufactured by laser powder bed fusion. The method uses imagining sensors and machine learning to monitor the process in real time and to inform the optimal parameters for processing as well as the process variables that can lead to printing defects. The method does not require special, complicated setups for temperature measurements that may not work reliably for different metal alloys. The method was found to be generalizable to different types of metal alloys tested on a laser powder bed machine. The ability to control the quality of printed parts may help in adopting 3D printing of metals in a wider scope of applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/01/2024

04/01/2024

None

Grant

47.084

1

4900

4900

2414647

[{'FirstName': 'David', 'LastName': 'Guirguis', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David Guirguis', 'EmailAddress': 'dguirgui@andrew.cmu.edu', 'NSF_ID': '000991216', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jack', 'LastName': 'Beuth', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jack Beuth', 'EmailAddress': 'beuth@andrew.cmu.edu', 'NSF_ID': '000243149', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133890', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414647.xml'}

Travel Grant: Conference Support for the Python in Heliophysics Community (PyHC) 2024 Summer School; Boulder, Colorado; May 20-24, 2024

NSF

02/01/2024

01/31/2025

{'Value': 'Standard Grant'}

{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Tai-Yin Huang', 'PO_EMAI': 'thuang@nsf.gov', 'PO_PHON': '7032924943'}

The award will provide travel support up to 20+ selected participants to participate in the 2024 Python in Heliophysics Community (PyHC) summer school to be held on May 20-24 at the Laboratory for Atmospheric and Space Physics (LASP) in Boulder, CO. The PyHC 2024 summer school will provide a platform for attendees to learn more about Open-Source Software (OSS) efforts with the Heliophysics and space physics communities, gain knowledge in working with OSS software projects, and discuss and collaborate on open software packages and techniques. The project seeks to boost representation of women and other minorities, students, early career and post-doctoral developers and scientists, and potential attendees from smaller institutions. Digital copies of presentations, tutorials, and demonstrations will be collected and kept online on PyHC’s YouTube channel for public viewing and the material will be stored in the PyHC GitHub repository for public access. &lt;br/&gt;&lt;br/&gt;The PyHC 2024 Summer School will serve as a gathering for the Heliophysics community to come together and learn more on the existing open-source Python software available for their use. Attendees will receive an overview of open-source Python Heliophysics software through the lens of PyHC packages. Topics to be covered include PyHC core package introductions, a look into time, coordinates and SPICE kernels and how PyHC software handles those, a “how to” session for relevant software topics, a panel session where participants submit questions to be answered by the PyHC package developers, interoperability sessions, student group activities leveraging PyHC software, and an introduction to artificial intelligence and machine learning in Heliophysics. Summer school participants will work with the NASA HelioCloud platform, providing them with experience on cloud software. Travel award criteria will be developed and vetted by the Summer School organizing committee and will be based on need, relevance, career stage, and equity for considerations.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/29/2024

01/29/2024

None

Grant

47.050

1

4900

4900

2414651

{'FirstName': 'Julie', 'LastName': 'Barnum', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julie Barnum', 'EmailAddress': 'Julie.Barnum@lasp.colorado.edu', 'NSF_ID': '000841802', 'StartDate': '01/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'ZipCode': '803090001', 'PhoneNumber': '3034926221', 'StreetAddress': '3100 MARINE ST', 'StreetAddress2': 'STE 481 572 UCB', 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'SPVKK1RC2MZ3', 'ORG_LGL_BUS_NAME': 'THE REGENTS OF THE UNIVERSITY OF COLORADO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'StateCode': 'CO', 'ZipCode': '803037814', 'StreetAddress': '1234 Innovation Dr.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

{'Code': '1521', 'Text': 'AERONOMY'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414651.xml'}

I-Corps: Translation Potential of a Train Protection System

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Jaime A. Camelio', 'PO_EMAI': 'jcamelio@nsf.gov', 'PO_PHON': '7032922061'}

The broader impact of this I-Corps project is the development of technology that makes increases the economic and ecological benefits of artificial-intelligence-based train control systems without incurring safety risks associated with testing-based quality assurance. The benefits of the technology include improved infrastructure utilization, leading to increased throughput in the existing rail network. Additionally, lower energy consumption has ecological benefits, while increased efficiency makes transportation cheaper. The underlying technology of safe learning inside a verified control envelope can be generalized to other systems like cars and robots.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of a verified train protection system. Train protection systems safeguard railroad operations by keeping motion within a safe envelope. These systems decide when to slow trains down to avoid collisions with other trains, stay inside movement authorities, and navigate slopes, curves, and tunnels safely. The technology is a train protection system that is formally verified, meaning that it is mathematically proven to be safe, with computer-checked proofs, ensuring high levels of safety and reliability. The current approach to ensuring train software reliability is to run extensive tests and simulations. However, these methods can check only a finite number of scenarios out of the infinite possibilities, forcing conservative engineering decisions. In contrast, these proofs give a stronger guarantee of correctness by checking safety in many more possible cases. The resulting verified train protection system technology provides a safe path to deploy new technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/10/2024

04/10/2024

None

Grant

47.084

1

4900

4900

2414665

{'FirstName': 'Stefan', 'LastName': 'Mitsch', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stefan Mitsch', 'EmailAddress': 'smitsch@depaul.edu', 'NSF_ID': '000991063', 'StartDate': '04/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'DePaul University', 'CityName': 'CHICAGO', 'ZipCode': '606042287', 'PhoneNumber': '3123627388', 'StreetAddress': '1 E JACKSON BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'IL07', 'ORG_UEI_NUM': 'MNZ8KMRWTDB6', 'ORG_LGL_BUS_NAME': 'DEPAUL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'DePaul University', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606042201', 'StreetAddress': '1 E JACKSON BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'IL07'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414665.xml'}

Do Rhizosolenia mats obtain N from cryptic nitrogen-fixing microbes?

NSF

01/01/2025

12/31/2027

{'Value': 'Continuing Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Cynthia Suchman', 'PO_EMAI': 'csuchman@nsf.gov', 'PO_PHON': '7032922092'}

Ocean ecosystems are reliant on tiny, microscopic phytoplankton that form the base of the marine food web, yet vast regions of sunlit open ocean waters also have chronically low concentrations of dissolved nitrogen (N), a nutrient that limits photosynthesis and growth. These ecosystems are highly regenerative, meaning that the organisms are adapted to low concentrations of nitrogen and recycle it efficiently. While this nitrogen recycling sustains growth, addition from other sources (or “new” nitrogen) is important for fueling new growth and is ultimately linked to the ocean’s ability to remove carbon dioxide from the atmosphere and store it in the deep ocean. New nitrogen is introduced into the surface ocean through the movement of deep waters with high nitrogen concentrations to the surface or through the process of biological nitrogen fixation -- the microbial conversion of nitrogen gas into a biologically available form. Diatoms are one of the most important phytoplankton groups in modern oceans and form the base of the food web in the most productive ocean ecosystems. In the low nutrient open ocean they can sometimes form dense aggregates (or “mats”) that can descend into deeper waters to obtain the nitrogen needed for their growth using buoyancy regulation. The investigators recently observed and sampled mats of multiple Rhizosolenia diatom species in the North Pacific Subtropical Gyre (NPSG) and showed that their microbiome contained a diverse array of microbes capable of nitrogen fixation. This discovery calls into question where Rhizosolenia mats acquire nitrogen and suggests that they may obtain it from living in symbiosis with nitrogen-fixing microbes. Importantly, fragile Rhizosolenia mats are not well sampled using traditional oceanographic techniques, as such we know very little about these microbial ecosystems and their contribution to oceanic productivity. This project is characterizing Rhizosolenia mat ecosystems, determining whether they are growing on nitrogen from nitrogen-fixers, and assessing their contribution to the nitrogen cycle in the NPSG. The investigators are combining traditional microscopy techniques, as well as modern multi-omics, imaging, and stable isotope tracer techniques. They are using deployable optical instrumentation and satellite data to track the location of mats during a research cruise to the NPSG, and using blue-water diving to sample and incubate the fragile mats. This project is having an impact beyond advancing discovery by providing professional development opportunities for early career ocean researchers, including exposure to a broad array of transferable skills, from scientific diving to molecular techniques. The investigators are also developing a hands-on educational module about marine phytoplankton, symbioses, and ocean nutrient cycles to be featured at the Moss Landing Marine Labs Open House, a free public outreach event held annually each spring. <br/> <br/>Diazotrophy, the microbial fixation of dinitrogen gas into ammonia, supports a significant amount of primary production in the chronically nitrogen-limited oligotrophic ocean. However, the relative importance of different diazotrophs to primary production is not clear, and ongoing discoveries of novel diazotrophs highlight our incomplete understanding of marine nitrogen-fixers. Phytoplankton vertical migration is an additional source of new nitrogen to surface waters in oligotrophic systems, and multispecies, migrating Rhizosolenia aggregates (or “mats”) have been reported to contribute significantly to both primary production and carbon export fluxes due to their ability to transport deep nitrogen into surface waters. The investigators encountered Rhizosolenia mats on a research cruise in the North Pacific Subtropical Gyre (NPSG) in 2022, which led to the discovery that they contain a varied assemblage of diazotrophs, but not the heterocyst-forming Richelia known to form associations with some Rhizosolenia sp. These findings, along with a historical observation of dinitrogen gas fixation in Rhizosolenia mats, suggest that these mats may acquire some of their needed nitrogen from diazotrophy, and mat-associated dinitrogen gas fixation constitutes an unrecognized important source of nitrogen to the NPSG. This project is assessing the composition, activity, and symbiotic nature of Rhizosolenia mat communities, as well as determining their significance to the nitrogen inventory in the NPSG. The investigators are providing the first detailed characterization of mat-forming Rhizosolenia and their associated diazotroph communities by using a combination of traditional microscopy techniques (light microscopy, Scanning Electron Microscopy, Transmission Electron Microscop), molecular and ‘omics tools (metagenome-assembled genomes, Rhizosolenia barcoding using voucher isolate strains, fluorescence-based visualization, amplicon High Throughput Sequencing) and stable isotope-based approaches at both whole mat and sub-mat scales (using nanoscale secondary ion mass spectrometry). Demonstrating that Rhizosolenia mats obtain diazotroph-derived nitrogen would transform the current paradigm about the role of these mats in nitrogen and carbon biogeochemical cycles and identify a novel diazotroph niche that is missed with conventional sampling. This project is also opening avenues to explore fundamental questions of diatom evolution and characterization of diatom strategies for metabolic adaptation to low nutrient environments through the isolation of mat-forming diatoms and generation of metagenome-assembled genomes. Additionally, morphological and molecular characterization of these fragile and cryptic Rhizosolenia mats is significantly contributing to illuminating the unseen pelagic microbiome.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/01/2024

08/01/2024

None

Grant

47.050

1

4900

4900

2414669

[{'FirstName': 'Kendra', 'LastName': 'Turk-Kubo', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kendra A Turk-Kubo', 'EmailAddress': 'kturk@ucsc.edu', 'NSF_ID': '000784623', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Angelicque', 'LastName': 'White', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Angelicque E White', 'EmailAddress': 'aewhite@hawaii.edu', 'NSF_ID': '000349891', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of California-Santa Cruz', 'CityName': 'SANTA CRUZ', 'ZipCode': '950641077', 'PhoneNumber': '8314595278', 'StreetAddress': '1156 HIGH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'CA19', 'ORG_UEI_NUM': 'VXUFPE4MCZH5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA SANTA CRUZ', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Santa Cruz', 'CityName': 'SANTA CRUZ', 'StateCode': 'CA', 'ZipCode': '950641077', 'StreetAddress': '1156 HIGH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'CA19'}

[{'Code': '165000', 'Text': 'BIOLOGICAL OCEANOGRAPHY'}, {'Code': '167000', 'Text': 'Chemical Oceanography'}]

2024~344271

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414669.xml'}

Do Rhizosolenia mats obtain N from cryptic nitrogen-fixing microbes?

NSF

01/01/2025

12/31/2027

{'Value': 'Continuing Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Cynthia Suchman', 'PO_EMAI': 'csuchman@nsf.gov', 'PO_PHON': '7032922092'}

Ocean ecosystems are reliant on tiny, microscopic phytoplankton that form the base of the marine food web, yet vast regions of sunlit open ocean waters also have chronically low concentrations of dissolved nitrogen (N), a nutrient that limits photosynthesis and growth. These ecosystems are highly regenerative, meaning that the organisms are adapted to low concentrations of nitrogen and recycle it efficiently. While this nitrogen recycling sustains growth, addition from other sources (or “new” nitrogen) is important for fueling new growth and is ultimately linked to the ocean’s ability to remove carbon dioxide from the atmosphere and store it in the deep ocean. New nitrogen is introduced into the surface ocean through the movement of deep waters with high nitrogen concentrations to the surface or through the process of biological nitrogen fixation -- the microbial conversion of nitrogen gas into a biologically available form. Diatoms are one of the most important phytoplankton groups in modern oceans and form the base of the food web in the most productive ocean ecosystems. In the low nutrient open ocean they can sometimes form dense aggregates (or “mats”) that can descend into deeper waters to obtain the nitrogen needed for their growth using buoyancy regulation. The investigators recently observed and sampled mats of multiple Rhizosolenia diatom species in the North Pacific Subtropical Gyre (NPSG) and showed that their microbiome contained a diverse array of microbes capable of nitrogen fixation. This discovery calls into question where Rhizosolenia mats acquire nitrogen and suggests that they may obtain it from living in symbiosis with nitrogen-fixing microbes. Importantly, fragile Rhizosolenia mats are not well sampled using traditional oceanographic techniques, as such we know very little about these microbial ecosystems and their contribution to oceanic productivity. This project is characterizing Rhizosolenia mat ecosystems, determining whether they are growing on nitrogen from nitrogen-fixers, and assessing their contribution to the nitrogen cycle in the NPSG. The investigators are combining traditional microscopy techniques, as well as modern multi-omics, imaging, and stable isotope tracer techniques. They are using deployable optical instrumentation and satellite data to track the location of mats during a research cruise to the NPSG, and using blue-water diving to sample and incubate the fragile mats. This project is having an impact beyond advancing discovery by providing professional development opportunities for early career ocean researchers, including exposure to a broad array of transferable skills, from scientific diving to molecular techniques. The investigators are also developing a hands-on educational module about marine phytoplankton, symbioses, and ocean nutrient cycles to be featured at the Moss Landing Marine Labs Open House, a free public outreach event held annually each spring. <br/> <br/>Diazotrophy, the microbial fixation of dinitrogen gas into ammonia, supports a significant amount of primary production in the chronically nitrogen-limited oligotrophic ocean. However, the relative importance of different diazotrophs to primary production is not clear, and ongoing discoveries of novel diazotrophs highlight our incomplete understanding of marine nitrogen-fixers. Phytoplankton vertical migration is an additional source of new nitrogen to surface waters in oligotrophic systems, and multispecies, migrating Rhizosolenia aggregates (or “mats”) have been reported to contribute significantly to both primary production and carbon export fluxes due to their ability to transport deep nitrogen into surface waters. The investigators encountered Rhizosolenia mats on a research cruise in the North Pacific Subtropical Gyre (NPSG) in 2022, which led to the discovery that they contain a varied assemblage of diazotrophs, but not the heterocyst-forming Richelia known to form associations with some Rhizosolenia sp. These findings, along with a historical observation of dinitrogen gas fixation in Rhizosolenia mats, suggest that these mats may acquire some of their needed nitrogen from diazotrophy, and mat-associated dinitrogen gas fixation constitutes an unrecognized important source of nitrogen to the NPSG. This project is assessing the composition, activity, and symbiotic nature of Rhizosolenia mat communities, as well as determining their significance to the nitrogen inventory in the NPSG. The investigators are providing the first detailed characterization of mat-forming Rhizosolenia and their associated diazotroph communities by using a combination of traditional microscopy techniques (light microscopy, Scanning Electron Microscopy, Transmission Electron Microscop), molecular and ‘omics tools (metagenome-assembled genomes, Rhizosolenia barcoding using voucher isolate strains, fluorescence-based visualization, amplicon High Throughput Sequencing) and stable isotope-based approaches at both whole mat and sub-mat scales (using nanoscale secondary ion mass spectrometry). Demonstrating that Rhizosolenia mats obtain diazotroph-derived nitrogen would transform the current paradigm about the role of these mats in nitrogen and carbon biogeochemical cycles and identify a novel diazotroph niche that is missed with conventional sampling. This project is also opening avenues to explore fundamental questions of diatom evolution and characterization of diatom strategies for metabolic adaptation to low nutrient environments through the isolation of mat-forming diatoms and generation of metagenome-assembled genomes. Additionally, morphological and molecular characterization of these fragile and cryptic Rhizosolenia mats is significantly contributing to illuminating the unseen pelagic microbiome.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/01/2024

08/01/2024

None

Grant

47.050

1

4900

4900

2414670

{'FirstName': 'Sarah', 'LastName': 'Smith', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarah R Smith', 'EmailAddress': 'sarah.r.smith@sjsu.edu', 'NSF_ID': '000688513', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'San Jose State University Foundation', 'CityName': 'SAN JOSE', 'ZipCode': '951125569', 'PhoneNumber': '4089241400', 'StreetAddress': '210 N 4TH ST FL 4', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'CA18', 'ORG_UEI_NUM': 'LJBXV5VF2BT9', 'ORG_LGL_BUS_NAME': 'SAN JOSE STATE UNIVERSITY RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': 'LJBXV5VF2BT9'}

{'Name': 'San Jose State University Foundation', 'CityName': 'SAN JOSE', 'StateCode': 'CA', 'ZipCode': '951125569', 'StreetAddress': '210 4TH ST 3RD FL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_PERF': 'CA18'}

[{'Code': '165000', 'Text': 'BIOLOGICAL OCEANOGRAPHY'}, {'Code': '167000', 'Text': 'Chemical Oceanography'}]

2024~205943

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414670.xml'}

Do Rhizosolenia mats obtain N from cryptic nitrogen-fixing microbes?

NSF

01/01/2025

12/31/2027

{'Value': 'Continuing Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Cynthia Suchman', 'PO_EMAI': 'csuchman@nsf.gov', 'PO_PHON': '7032922092'}

Ocean ecosystems are reliant on tiny, microscopic phytoplankton that form the base of the marine food web, yet vast regions of sunlit open ocean waters also have chronically low concentrations of dissolved nitrogen (N), a nutrient that limits photosynthesis and growth. These ecosystems are highly regenerative, meaning that the organisms are adapted to low concentrations of nitrogen and recycle it efficiently. While this nitrogen recycling sustains growth, addition from other sources (or “new” nitrogen) is important for fueling new growth and is ultimately linked to the ocean’s ability to remove carbon dioxide from the atmosphere and store it in the deep ocean. New nitrogen is introduced into the surface ocean through the movement of deep waters with high nitrogen concentrations to the surface or through the process of biological nitrogen fixation -- the microbial conversion of nitrogen gas into a biologically available form. Diatoms are one of the most important phytoplankton groups in modern oceans and form the base of the food web in the most productive ocean ecosystems. In the low nutrient open ocean they can sometimes form dense aggregates (or “mats”) that can descend into deeper waters to obtain the nitrogen needed for their growth using buoyancy regulation. The investigators recently observed and sampled mats of multiple Rhizosolenia diatom species in the North Pacific Subtropical Gyre (NPSG) and showed that their microbiome contained a diverse array of microbes capable of nitrogen fixation. This discovery calls into question where Rhizosolenia mats acquire nitrogen and suggests that they may obtain it from living in symbiosis with nitrogen-fixing microbes. Importantly, fragile Rhizosolenia mats are not well sampled using traditional oceanographic techniques, as such we know very little about these microbial ecosystems and their contribution to oceanic productivity. This project is characterizing Rhizosolenia mat ecosystems, determining whether they are growing on nitrogen from nitrogen-fixers, and assessing their contribution to the nitrogen cycle in the NPSG. The investigators are combining traditional microscopy techniques, as well as modern multi-omics, imaging, and stable isotope tracer techniques. They are using deployable optical instrumentation and satellite data to track the location of mats during a research cruise to the NPSG, and using blue-water diving to sample and incubate the fragile mats. This project is having an impact beyond advancing discovery by providing professional development opportunities for early career ocean researchers, including exposure to a broad array of transferable skills, from scientific diving to molecular techniques. The investigators are also developing a hands-on educational module about marine phytoplankton, symbioses, and ocean nutrient cycles to be featured at the Moss Landing Marine Labs Open House, a free public outreach event held annually each spring. <br/> <br/>Diazotrophy, the microbial fixation of dinitrogen gas into ammonia, supports a significant amount of primary production in the chronically nitrogen-limited oligotrophic ocean. However, the relative importance of different diazotrophs to primary production is not clear, and ongoing discoveries of novel diazotrophs highlight our incomplete understanding of marine nitrogen-fixers. Phytoplankton vertical migration is an additional source of new nitrogen to surface waters in oligotrophic systems, and multispecies, migrating Rhizosolenia aggregates (or “mats”) have been reported to contribute significantly to both primary production and carbon export fluxes due to their ability to transport deep nitrogen into surface waters. The investigators encountered Rhizosolenia mats on a research cruise in the North Pacific Subtropical Gyre (NPSG) in 2022, which led to the discovery that they contain a varied assemblage of diazotrophs, but not the heterocyst-forming Richelia known to form associations with some Rhizosolenia sp. These findings, along with a historical observation of dinitrogen gas fixation in Rhizosolenia mats, suggest that these mats may acquire some of their needed nitrogen from diazotrophy, and mat-associated dinitrogen gas fixation constitutes an unrecognized important source of nitrogen to the NPSG. This project is assessing the composition, activity, and symbiotic nature of Rhizosolenia mat communities, as well as determining their significance to the nitrogen inventory in the NPSG. The investigators are providing the first detailed characterization of mat-forming Rhizosolenia and their associated diazotroph communities by using a combination of traditional microscopy techniques (light microscopy, Scanning Electron Microscopy, Transmission Electron Microscop), molecular and ‘omics tools (metagenome-assembled genomes, Rhizosolenia barcoding using voucher isolate strains, fluorescence-based visualization, amplicon High Throughput Sequencing) and stable isotope-based approaches at both whole mat and sub-mat scales (using nanoscale secondary ion mass spectrometry). Demonstrating that Rhizosolenia mats obtain diazotroph-derived nitrogen would transform the current paradigm about the role of these mats in nitrogen and carbon biogeochemical cycles and identify a novel diazotroph niche that is missed with conventional sampling. This project is also opening avenues to explore fundamental questions of diatom evolution and characterization of diatom strategies for metabolic adaptation to low nutrient environments through the isolation of mat-forming diatoms and generation of metagenome-assembled genomes. Additionally, morphological and molecular characterization of these fragile and cryptic Rhizosolenia mats is significantly contributing to illuminating the unseen pelagic microbiome.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/01/2024

08/01/2024

None

Grant

47.050

1

4900

4900

2414671

{'FirstName': 'Kevin', 'LastName': 'Arrigo', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin R Arrigo', 'EmailAddress': 'arrigo@stanford.edu', 'NSF_ID': '000318310', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Stanford University', 'CityName': 'STANFORD', 'ZipCode': '943052004', 'PhoneNumber': '6507232300', 'StreetAddress': '450 JANE STANFORD WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'HJD6G4D6TJY5', 'ORG_LGL_BUS_NAME': 'THE LELAND STANFORD JUNIOR UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Stanford University', 'CityName': 'STANFORD', 'StateCode': 'CA', 'ZipCode': '943052004', 'StreetAddress': '450 JANE STANFORD WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_PERF': 'CA16'}

[{'Code': '165000', 'Text': 'BIOLOGICAL OCEANOGRAPHY'}, {'Code': '167000', 'Text': 'Chemical Oceanography'}]

2024~257498

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414671.xml'}

Collaborative Research: Determining changes in pelagic ecosystem function and their impact on the carbon cycle from the hothouse early Eocene to the coolhouse early Oligocene

NSF

01/01/2025

12/31/2027

{'Value': 'Standard Grant'}

{'Code': '06040200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Alan Wanamaker', 'PO_EMAI': 'awanamak@nsf.gov', 'PO_PHON': '7032927516'}

The Eocene (56-33.9 Ma) was a time of profound climatic variability as Earth transitioned from the hothouse, ice-free conditions of the early Eocene, to the warmhouse of the middle Eocene, to the coolhouse of the Oligocene, characterized by lower temperatures and the development of permanent ice sheets on Antarctica. Based on these large changes in Earth’s climate, it is reasonable to assume that the composition of the pelagic calcifier ecosystem in the Eocene changed in response to evolving patterns of ocean circulation, continental weathering, and cooling temperature, but there are few Eocene data available to test this assumption. The proposed research will reconstruct changes of the South Atlantic subtropical gyre ecosystem from the early Eocene to the early Oligocene, and it will determine how these changes impacted carbonate production at the surface and its preservation at the seafloor. Data will be generated using sediment cores collected below the oligotrophic waters of the South Atlantic subtropical gyre during the International Ocean Discovery Program Expeditions 390C and 393 (Sites U1557 and U1558). These data will improve the societal understanding of the evolution of the carbon cycle under different climatic regimes. This research will also generate the first complete Eocene record of pelagic carbonate communities and carbonate accumulation rates for the western South Atlantic Ocean, which remains a poorly studied region during a key interval of the Cenozoic. Broader impact activities include the support for two early career researchers, and an outreach program that will promote the participation of high school students from disadvantaged backgrounds in summer research experiences. Additionally, several undergraduate and graduate students will be involved in research activities.<br/><br/><br/>On geological time scales, the biologically-mediated production of calcium carbonate at the ocean surface and the burial of this calcium carbonate at the seafloor influence the marine chemistry and, indirectly, the CO2 concentration in the atmosphere. Thus, these processes are important components of the carbon cycle. However, their evolution through time is not well constrained, in particular with oligotrophic systems, which are less productive but cover vastly more area than upwelling regions. The goal of this project is to study how oligotrophic pelagic calcifier communities evolved during a time characterized by different temperatures and CO2 concentrations in the atmosphere (i.e., Eocene) and how these changes have affected carbonate burial at the seafloor. Specifically, the investigators will test the following hypotheses:<br/><br/>1) Surface carbonate productivity changed from the early Eocene to the early Oligocene (~56-32 Ma);<br/>2) These changes were connected to changes in the composition of the pelagic calcifier ecosystem;<br/>3) Changes in the pelagic calcifier ecosystems were driven by changes in surface currents;<br/>4) Above the carbonate compensation depth, carbonate burial was not impacted by deep-ocean circulation. <br/><br/>The investigators will evaluate project hypotheses by generating and interpreting mass accumulation rates of planktic foraminifera and calcareous nannoplankton (the main producers of carbonate found in deep sediments), planktic foraminiferal assemblages and percent fragmentation, and benthic foraminiferal accumulation rate from two new International Ocean Discovery Program sites drilled in the western south Atlantic, Sites U1557 and U1558.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/26/2024

08/26/2024

None

Grant

47.050

1

4900

4900

2414672

{'FirstName': 'Chiara', 'LastName': 'Borrelli', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chiara Borrelli', 'EmailAddress': 'cborrelli@ur.rochester.edu', 'NSF_ID': '000687384', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Rochester', 'CityName': 'ROCHESTER', 'ZipCode': '146113847', 'PhoneNumber': '5852754031', 'StreetAddress': '910 GENESEE ST', 'StreetAddress2': 'STE 200', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'NY25', 'ORG_UEI_NUM': 'F27KDXZMF9Y8', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ROCHESTER', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Rochester', 'CityName': 'ROCHESTER', 'StateCode': 'NY', 'ZipCode': '146113847', 'StreetAddress': '910 GENESEE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

{'Code': '162000', 'Text': 'Marine Geology and Geophysics'}

2024~308515

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414672.xml'}

Collaborative Research: Determining changes in pelagic ecosystem function and their impact on the carbon cycle from the hothouse early Eocene to the coolhouse early Oligocene

NSF

01/01/2025

12/31/2027

{'Value': 'Standard Grant'}

{'Code': '06040200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Alan Wanamaker', 'PO_EMAI': 'awanamak@nsf.gov', 'PO_PHON': '7032927516'}

The Eocene (56-33.9 Ma) was a time of profound climatic variability as Earth transitioned from the hothouse, ice-free conditions of the early Eocene, to the warmhouse of the middle Eocene, to the coolhouse of the Oligocene, characterized by lower temperatures and the development of permanent ice sheets on Antarctica. Based on these large changes in Earth’s climate, it is reasonable to assume that the composition of the pelagic calcifier ecosystem in the Eocene changed in response to evolving patterns of ocean circulation, continental weathering, and cooling temperature, but there are few Eocene data available to test this assumption. The proposed research will reconstruct changes of the South Atlantic subtropical gyre ecosystem from the early Eocene to the early Oligocene, and it will determine how these changes impacted carbonate production at the surface and its preservation at the seafloor. Data will be generated using sediment cores collected below the oligotrophic waters of the South Atlantic subtropical gyre during the International Ocean Discovery Program Expeditions 390C and 393 (Sites U1557 and U1558). These data will improve the societal understanding of the evolution of the carbon cycle under different climatic regimes. This research will also generate the first complete Eocene record of pelagic carbonate communities and carbonate accumulation rates for the western South Atlantic Ocean, which remains a poorly studied region during a key interval of the Cenozoic. Broader impact activities include the support for two early career researchers, and an outreach program that will promote the participation of high school students from disadvantaged backgrounds in summer research experiences. Additionally, several undergraduate and graduate students will be involved in research activities.<br/><br/><br/>On geological time scales, the biologically-mediated production of calcium carbonate at the ocean surface and the burial of this calcium carbonate at the seafloor influence the marine chemistry and, indirectly, the CO2 concentration in the atmosphere. Thus, these processes are important components of the carbon cycle. However, their evolution through time is not well constrained, in particular with oligotrophic systems, which are less productive but cover vastly more area than upwelling regions. The goal of this project is to study how oligotrophic pelagic calcifier communities evolved during a time characterized by different temperatures and CO2 concentrations in the atmosphere (i.e., Eocene) and how these changes have affected carbonate burial at the seafloor. Specifically, the investigators will test the following hypotheses:<br/><br/>1) Surface carbonate productivity changed from the early Eocene to the early Oligocene (~56-32 Ma);<br/>2) These changes were connected to changes in the composition of the pelagic calcifier ecosystem;<br/>3) Changes in the pelagic calcifier ecosystems were driven by changes in surface currents;<br/>4) Above the carbonate compensation depth, carbonate burial was not impacted by deep-ocean circulation. <br/><br/>The investigators will evaluate project hypotheses by generating and interpreting mass accumulation rates of planktic foraminifera and calcareous nannoplankton (the main producers of carbonate found in deep sediments), planktic foraminiferal assemblages and percent fragmentation, and benthic foraminiferal accumulation rate from two new International Ocean Discovery Program sites drilled in the western south Atlantic, Sites U1557 and U1558.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/26/2024

08/26/2024

None

Grant

47.050

1

4900

4900

2414673

{'FirstName': 'Christopher', 'LastName': 'Lowery', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher M Lowery', 'EmailAddress': 'cmlowery@utexas.edu', 'NSF_ID': '000687845', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'ZipCode': '787121139', 'PhoneNumber': '5124716424', 'StreetAddress': '110 INNER CAMPUS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'V6AFQPN18437', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT AUSTIN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'StateCode': 'TX', 'ZipCode': '787584445', 'StreetAddress': '10100 Burnet Rd. ROC/Bldg 196', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'TX37'}

{'Code': '162000', 'Text': 'Marine Geology and Geophysics'}

2024~442114

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414673.xml'}

Participant Support for 2024 Gordon Research Conference on Plasma Processing Science (GRC-PPS); Andover, New Hampshire; 21-26 July 2024

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Khershed Cooper', 'PO_EMAI': 'khcooper@nsf.gov', 'PO_PHON': '7032927017'}

This award provides participant support for attendees of the of the 2024 Gordon Research Conference on Plasma Processing Science (GRC-PPS), Andover, New Hampshire; 21-26 July 2024. The conference focuses on new research and development activities in plasma processing science. Students, faculty, and researchers present their latest research results on plasma processing science in oral sessions. The conference impacts communities such as Plasma Physics, Reaction Engineering and Advanced Manufacturing. Priority is given to participation by students and young researchers, particularly those under-represented in STEM. This approach promotes diverse participation at the conference, in the short term, and in STEM fields, in the long term. This award benefits the nation through the education of a skilled science and engineering workforce, which is better prepared to provide transformative solutions to the challenges in their chosen fields. This GRC plays an important role in supporting and sustaining the field of plasma science, which has important applications in energy, medicine, microelectronics, and quantum technologies, which are all National priorities. The Gordon Research Seminar (GRS) associated with this GRC is organized by and specifically targets early career researchers. It provides the opportunity to its participants to expand their professional network and establish new collaborations.&lt;br/&gt;&lt;br/&gt;This participant support is expected to benefit the students' and young researchers’ professional, scientific, and technical development. Attendance at the conference gives the students and faculty a broader view of plasma processing science, its fundamentals, and specifically the use of plasmas in electrification of the chemical industry, the non-thermal activation of catalytic processes, and the complex chemistry at the plasma-liquid interface. At the conference, concepts and challenges in plasma science and engineering, synthesis and manufacturing are presented. The conference is attended by U.S. and international researchers, which provides an opportunity for a variety of perspectives to be presented and discussed. The conference is an opportunity for participants to showcase their scientific accomplishments, interact with peers and colleagues in academia, government laboratories and industry. Attendees learn about state-of-the-art research in plasma materials, plasma sources, modeling, diagnostics, and analytics, and the use of plasmas in medicine, agriculture, renewable energy, information technology and manufacturing. Students and young faculty enhance their communication skills through oral and poster presentations and in-depth discussions of their work with peers in their technical areas. This interactive experience significantly broadens student education, increases their enthusiasm for their research topic, acquaints them with expectations for scientific careers, and exposes them to new approaches for innovative research.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/21/2024

03/21/2024

None

Grant

47.041, 47.049

1

4900

4900

2414674

{'FirstName': 'Lorenzo', 'LastName': 'Mangolini', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lorenzo Mangolini', 'EmailAddress': 'lmangolini@engr.ucr.edu', 'NSF_ID': '000587157', 'StartDate': '03/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

[{'Code': '088Y', 'Text': 'AM-Advanced Manufacturing'}, {'Code': '1242', 'Text': 'PLASMA PHYSICS'}, {'Code': '1403', 'Text': 'Proc Sys, Reac Eng & Mol Therm'}]

2024~15000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414674.xml'}

Conference: 2024 Defects in Semiconductors GRC/GRS

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Yaroslav Koshka', 'PO_EMAI': 'ykoshka@nsf.gov', 'PO_PHON': '7032924986'}

Non-technical description:&lt;br/&gt;&lt;br/&gt;Semiconductors are essential for a variety of applications including computing, power, energy and quantum information. A key component in determining a semiconductor’s properties are defects in the semiconductor crystal. Thus, understanding and controlling defects in semiconductor materials and devices has been of fundamental importance to the semiconductor industry from its inception. In the ever-changing landscape of semiconductor technologies, advancements are required in theory, characterization, and control of defects. The Gordon Research Conference (GRC) on Defects in Semiconductors is held biannually and offers a unique opportunity for scientists and technologists to address key questions and opportunities associated with defects across the full spectrum of semiconductor materials and devices. The off-the-record format of the conference allows for full and frank discussion of new discoveries and challenges, enabling the acceleration of discovery. The Gordon Research Conference is complemented by a highly successful Gordon Research Seminar (GRS) designed by and for graduate students and postdoctoral fellows. Attendance at both the GRS and GRC provides young scientists with a unique opportunity to actively engage in this area of research that is of fundamental importance to existing and future developments in semiconductor and quantum technologies. &lt;br/&gt;&lt;br/&gt;Technical description&lt;br/&gt;&lt;br/&gt;The conference will bring together experts and early career scientists in theory, characterization, control, and device impact of defects in a broad range of semiconductors. Focus areas include defects under extreme conditions, defects in low-dimensional systems, new defect discovery and identification for quantum information applications, advances in modelling correlated electron systems, perovskites resistance to defects and breakthroughs in characterization. Technological applications range from electronics for power generation, power distribution, and lighting to spintronics and quantum information processing. The two-day GRS precedes the GRC, acclimatizing young scientists to the unique style of Gordon Conferences and encouraging them to share and present their ideas to their peers. The knowledge gained at the GRS/GRC will assist their research pursuits and provide opportunities to foster new research linkages and obtain mentorship from experts in the field. Students and post-doctoral fellows will take the new knowledge and linkages they gain at the GRS/GRC back to their research groups, thereby broadening research opportunities and direction.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

02/14/2024

02/14/2024

None

Grant

47.049

1

4900

4900

2414677

{'FirstName': 'Kai-Mei', 'LastName': 'Fu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kai-Mei Fu', 'EmailAddress': 'kaimeifu@uw.edu', 'NSF_ID': '000586827', 'StartDate': '02/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

{'Code': '1775', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}

2024~5000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414677.xml'}

Tri-hybrid MIMO communication with metasurface antenna

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Huaiyu Dai', 'PO_EMAI': 'hdai@nsf.gov', 'PO_PHON': '7032924568'}

This project seeks to advance wireless communication by incorporating a cutting-edge type of reconfigurable antenna, known as a dynamic metasurface antenna (DMA), into multiple-input multiple-output (MIMO) wireless communication systems. DMAs consist of tightly packed reconfigurable elements that can provide high beamforming gains at very low power. Unlike conventional antennas, DMAs are passive devices that use tunable components to reconfigure each element and achieve a desired response. This project develops methods to integrate DMAs into MIMO communication to form what is called the tri-hybrid MIMO architecture. The main novelty in the tri-hybrid architecture is the integration of digital beamforming, analog beamforming and antenna reconfiguration all together. If successful, this project will facilitate the development of MIMO wireless communication systems with ten times larger apertures than previously deployed in commercial wireless systems like cellular systems. As a result, such systems will be able to serve more users simultaneously with better spectral efficiency and higher data rates than achieved by state-of-the-art commercial systems today. By developing technologies that consume less power and enable the formation of large, dense arrays, this project will contribute to the progress of science and technological innovation in wireless communications and array processing. From a scientific perspective, this project will result in the development to new approaches for dealing with tri-hybrid MIMO architectures that combine elements of signal processing, circuits and electromagnetics. It will also facilitate the development of new approaches for configuring tri-hybrid MIMO links, some that are data-driven and based on machine learning. The outcomes of this project will improve wireless cellular connectivity including data rates and reliability. <br/> <br/>This research project aims to develop new models, analyses, algorithms, and design insights through the advancement of the tri-hybrid MIMO architecture. The key component of this new MIMO configuration is the use of reconfigurable antennas in the form of DMAs, in conjunction with analog and digital beamforming. The proposed research will develop key aspects of the tri-hybrid MIMO architecture by leveraging tools from communication theory, electromagnetics, and circuit theory. Utilizing existing circuit and antenna models, the project will create MIMO input-output models that accurately capture waveguide attenuation, mutual coupling between elements, and the impact of reconfiguration on the channel. These models will be used to investigate how DMA reconfiguration constraints affect communication performance and to determine necessary adjustments for other signal processing components in MIMO systems. Specialized algorithms will be developed to address key challenges when incorporating DMAs into a MIMO communication architecture, including over-the-air beam calibration and multi-user beam training, utilizing tools such as machine learning. Insights from the analysis and modeling will guide the design of DMA-based transceivers to maximize spectral efficiency and minimize power consumption. Comprehensive evaluations will demonstrate the effectiveness of the developed designs, algorithms, and analyses by leveraging a combination of electromagnetic, circuit, and communication system-level simulations. The outcomes of this research will provide a comprehensive solution for integrating reconfigurable antennas into large-scale MIMO systems, significantly enhancing future wireless communication technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/13/2024

08/13/2024

None

Grant

47.041

1

4900

4900

2414678

{'FirstName': 'Robert', 'LastName': 'Heath', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert W Heath', 'EmailAddress': 'rwheathjr@ucsd.edu', 'NSF_ID': '000257959', 'StartDate': '08/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'ZipCode': '920930021', 'PhoneNumber': '8585344896', 'StreetAddress': '9500 GILMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'UYTTZT6G9DT1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SAN DIEGO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'StateCode': 'CA', 'ZipCode': '920930021', 'StreetAddress': '9500 GILMAN DRIVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}

2024~450000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414678.xml'}

CAREER: A Late Triassic Origin for Modern Marine Predator-prey Dynamics

NSF

10/01/2023

10/31/2024

{'Value': 'Continuing Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Margaret Fraiser', 'PO_EMAI': 'mfraiser@nsf.gov', 'PO_PHON': '7032924660'}

Predation is an important driver of ecological structure in modern shallow marine ecosystems, but the development of modern predator-prey dynamics in past oceans are poorly understood. Many of the most important modern marine predators and their prey animals appeared during the Late Triassic, about 228 ? 202 million years ago. This research will examine the role of predator-prey interactions in building modern-style ecological systems during this time of dramatic environmental change. Student mentorship groups comprised of undergraduates and students from nearby tribal high schools will develop research projects to solve environmental problems using the skills learned as part of the present study. <br/><br/>The goal of the present research is to quantify the antagonistic relationships between predator and prey taxa from three distinct marine regions during the Late Triassic. Series of fossiliferous bulk samples will be collected from regions in Nevada, Italy, and New Zealand to determine geographic patterns of predator occurrence and abundance, coupled with abundance and morphological pattern data for prey groups. In order to create a temporally- and spatially-resolved faunal dataset reflecting shifting ecological relationships, the three fossiliferous bulk sample sequences will be correlated to each other and to recognized geologic events using multiple chronostratigraphic methods. Paleoecological niche modeling will be used to test the concept of escalation in this predator-prey system, thus allowing for an evaluation of the role of both intrinsic and extrinsic factors in ecological function and health. Results will be made available through public databases, publications, and presentations at conferences by student researchers.

05/23/2024

05/23/2024

None

Grant

47.050

1

4900

4900

2414679

{'FirstName': 'Lydia', 'LastName': 'Tackett', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lydia S Tackett', 'EmailAddress': 'Lydia.Tackett@missouri.edu', 'NSF_ID': '000622696', 'StartDate': '05/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Missouri-Columbia', 'CityName': 'COLUMBIA', 'ZipCode': '652113020', 'PhoneNumber': '5738827560', 'StreetAddress': '121 UNIVERSITY HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'MO03', 'ORG_UEI_NUM': 'SZPJL5ZRCLF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MISSOURI SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'The Curators of the University of Missouri', 'CityName': 'Columbia', 'StateCode': 'MO', 'ZipCode': '652110001', 'StreetAddress': '601 Turner Avenue; Turner Avenue Garage, Rm. 201', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Missouri', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'MO03'}

[{'Code': '722200', 'Text': 'XC-Crosscutting Activities Pro'}, {'Code': '745900', 'Text': 'Sedimentary Geo & Paleobiology'}]

['2019~8584', '2021~79889']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414679.xml'}

CAS-SC: Universal polymer compatibilization for recycling mixed plastic waste

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Andrew Lovinger', 'PO_EMAI': 'alovinge@nsf.gov', 'PO_PHON': '7032924933'}

NON-TECHNICAL SUMMARY:<br/><br/>The main goal of this project is to find a practical and scalable way to recycle mixed plastic waste. Most plastics do not mix well, making it hard to recycle them using current methods. Traditional recycling methods are designed for specific types of plastics and do not work well for mixed plastic waste. Although there have been some new recycling techniques, none have successfully solved the problem of mixed plastic waste. To address this, two new methods will be investigated, both making use of a special type of chemistry that can form and break bonds easily. Method 1 will introduce chemical bridges between different plastic types while they are being melt processed together, facilitating them to stick together better. Method 2 will use pre-made materials that mechanically interlock different plastic molecules during melt processing. Both methods are designed to work with diverse type of plastics, making them potentially applicable for recycling various plastics together. If successful, this project could introduce a new universal strategy for recycling mixed plastics together, helping to reduce the global problem of plastic pollution. The proposed study will provide great opportunities to train graduate and undergraduate students, including minority and women students working on this project. <br/><br/><br/>TECHNICAL SUMMARY:<br/><br/>The primary goal of this project is to develop a practical and scalable approach for the universal compatibilization of polymers, facilitating the recycling of mixed plastic waste. The inherent immiscibility of most plastics poses a significant challenge to mechanical recycling efforts. Traditional compatibilization methods, tailored to specific polymer compositions, are impractical for addressing mixed plastic waste. Despite the emergence of various innovative recycling methods, an effective solution for recycling mixed plastic waste remains elusive. To tackle this challenge, this project will investigate two innovative compatibilization methods, both based on dynamic covalent chemistry. In Aim 1, a robust dynamic covalent crosslinking chemistry will be developed to efficiently introduce dynamic crosslinks during melt extrusion, chemically connecting different polymer chains as in situ-formed compatibilizers. In Aim 2, pre-made vitrimers will be explored as compatibilizers for immiscible polymer blends, creating mechanical interlocks during melt extrusion. Both approaches share the distinctive feature of independence from specific polymer structures, potentially offering universal applicability for compatibilizing diverse plastics. This project aligns with the CAS-CS focus on “Developing enhanced methods for recycling and upcycling of chemicals and materials, especially as related to circular technologies”. If successful, the project could introduce a new, universal strategy for polymer compatibilization, addressing the global environmental challenge of plastic pollution through the recycling of mixed plastic waste. The proposed study will provide great opportunities to train graduate and undergraduate students, including minority and women students working on this project.<br/>.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/22/2024

07/22/2024

None

Grant

47.049

1

4900

4900

2414685

{'FirstName': 'Zhibin', 'LastName': 'Guan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zhibin Guan', 'EmailAddress': 'zguan@uci.edu', 'NSF_ID': '000251274', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'ZipCode': '926970001', 'PhoneNumber': '9498247295', 'StreetAddress': '160 ALDRICH HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_ORG': 'CA47', 'ORG_UEI_NUM': 'MJC5FCYQTPE6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA IRVINE', 'ORG_PRNT_UEI_NUM': 'MJC5FCYQTPE6'}

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'StateCode': 'CA', 'ZipCode': '926972025', 'StreetAddress': '1102 Natural Sciences II', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_PERF': 'CA47'}

[{'Code': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}, {'Code': '177300', 'Text': 'POLYMERS'}]

2024~510000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414685.xml'}

Collaborative Research: Urban Vector-Borne Disease Transmission Demands Advances in Spatiotemporal Statistical Inference

NSF

02/15/2024

06/30/2025

{'Value': 'Continuing Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Pedro Embid', 'PO_EMAI': 'pembid@nsf.gov', 'PO_PHON': '7032924859'}

Statistical analysis of partially-observed, nonlinear, stochastic spatiotemporal systems is a methodological challenge. Many existing inference algorithms suffer from a "curse of dimensionality" that prohibits their applicability to models describing interacting dynamic processes occurring within and between many spatial locations. New algorithms will be developed, and shown in theory and in practice to advance capabilities for spatiotemporal data analysis. This methodological research will be carried out in the context of addressing a public health concern, transmission of dengue virus. Global incidence of dengue has risen 30-fold over the past fifty years, with notable geographical expansion in South and Central America. The municipality of Rio de Janeiro is a focal point for dengue transmission in this region. Spatiotemporal data on dengue cases in Rio de Janeiro will be analyzed, together with data on human movement, temperature, and rainfall. Policy decisions for the detection, control, and potential eradication of infectious diseases are informed by model-based understanding of disease transmission. Improved understanding of the spatiotemporal dynamics of disease transmission will have implications for improvements in disease control. Mathematical models will be developed to describe spatiotemporal dynamics of dengue transmission, and the novel statistical methodology will be used to link these models to the data from Rio de Janeiro.<br/><br/>Spatiotemporal partially-observed Markov process models provide a framework for formulating and answering questions relating spatiotemporal data to an underlying stochastic dynamic process. Statistically efficient inference involves integrating out over possible values of the latent process, a task known as filtering. Except when the system is approximately linear and Gaussian, filtering spatiotemporal models is challenging. One algorithm developed in this project will address the curse of dimensionality by guiding Monte Carlo particles toward important regions in the latent variable space. Another algorithm will combine many weak, independent filters to give a global filtering solution. Disease transmission systems, which are highly nonlinear and stochastic and are imperfectly observable, will be used to motivate and demonstrate the capabilities of the new algorithms. Specifically, models will be developed for the dynamics of dengue transmission in the major metropolis of Rio de Janeiro. Spatiotemporal stochastic epidemiological models will be used to examine the role of human mobility, host immunity, and climate variability in the context of a heterogeneous socioeconomic landscape. A particular goal is to identify locations that function as sources of infection critical to disease invasion and persistence as well as those that act as sinks incapable of sustained local transmission.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

02/15/2024

02/15/2024

None

Grant

47.049

1

4900

4900

2414688

{'FirstName': 'Mercedes', 'LastName': 'Pascual', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mercedes Pascual', 'EmailAddress': 'mp6774@nyu.edu', 'NSF_ID': '000165801', 'StartDate': '02/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'New York University', 'CityName': 'NEW YORK', 'ZipCode': '100121019', 'PhoneNumber': '2129982121', 'StreetAddress': '70 WASHINGTON SQ S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NY10', 'ORG_UEI_NUM': 'NX9PXMKW5KW8', 'ORG_LGL_BUS_NAME': 'NEW YORK UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New York University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100121019', 'StreetAddress': '70 WASHINGTON SQ S', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'NY10'}

{'Code': '804700', 'Text': 'NIGMS'}

['2019~70868', '2021~59196']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414688.xml'}

Time Series Particle Flux Measurements in the Sargasso Sea

NSF

10/01/2023

09/30/2025

{'Value': 'Continuing Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Henrietta Edmonds', 'PO_EMAI': 'hedmonds@nsf.gov', 'PO_PHON': '7032927427'}

This award provides an additional three years of support for the Oceanic Flux Program (OFP). This program was first established in 1978 to measure the export flux of particles from the surface to the deep ocean in the deep Sargasso Sea and represents the longest and most continuous particle flux time-series of its kind. This program and the time-series record will continue to help the oceanographic community to answer questions about the relationship between deep ocean particle flux and climate and biological, physical, and chemical oceanographic processes. In the past, the OFP has provided evidence for coupling between the upper and deep ocean processes linked to seasonal, episodic (e.g., physical and meteorological forcing) and climate patterns. Looking to the future, this program will utilize increasingly advanced instrumentation and analytical tools to address questions about the material that sinks from the surface to deep ocean and its controls. The OFP provides education and training for students from the high school to Ph.D. level and supports early career researchers. <br/><br/>The OFP time-series represents a 43-year, nearly continuous record focused on particle fluxes in the deep ocean. With increasingly more data available from the lengthening record, investigators can put observed biogeochemical patterns into perspective to understand the interplay between climate and ocean functioning. The availability of data from complementary nearby Hydrostation S, the Bermuda Atlantic Time-Series (BATS), the Bermuda Testbed Mooring (1994-2007), the Tudor Hill atmospheric tower and other Bermuda sampling programs provide additional opportunities to study upper ocean physics and biogeochemistry coupled with deep ocean biogeochemical processes. The OFP record is becoming long enough to study deep flux linkages with gyre circulation and advective processes. The OFP’s archive is an unparalleled resource for retrospective studies of temporal trends and the biogeochemical consequences of a changing ocean, including future impacts of ocean acidification. As the OFP heads into the future, increasingly sophisticated OFP mooring instrumentation (ADCP current profiling and backscatter; MicroCAT temperature, salinity, and oxygen measurements) and advances in digital imaging and analytical tools (both chemical and genomic) to probe the recovered flux materials continue to reveal novel, fundamental information about the oceanic particle flux and its controls.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/08/2024

01/31/2024

None

Grant

47.050

1

4900

4900

2414704

[{'FirstName': 'Maureen', 'LastName': 'Conte', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maureen Conte', 'EmailAddress': 'maureen.conte@bios.edu', 'NSF_ID': '000259293', 'StartDate': '01/08/2024', 'EndDate': '01/31/2024', 'RoleCode': 'Former Principal Investigator'}, {'FirstName': 'Rut', 'LastName': 'Pedrosa Pamies', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rut Pedrosa Pamies', 'EmailAddress': 'rpedrosa@mbl.edu', 'NSF_ID': '000791756', 'StartDate': '01/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Marine Biological Laboratory', 'CityName': 'WOODS HOLE', 'ZipCode': '025431015', 'PhoneNumber': '5082897243', 'StreetAddress': '7 M B L ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'M2XKLRTA9G44', 'ORG_LGL_BUS_NAME': 'THE MARINE BIOLOGICAL LABORATORY', 'ORG_PRNT_UEI_NUM': 'M2XKLRTA9G44'}

{'Name': 'Marine Biological Laboratory', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431015', 'StreetAddress': '7 M B L ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}

{'Code': '167000', 'Text': 'Chemical Oceanography'}

['2022~464788', '2023~691833']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414704.xml'}

CAREER: Mathematical Modeling from Data to Insights and Beyond

NSF

01/15/2024

05/31/2025

{'Value': 'Continuing Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Yuliya Gorb', 'PO_EMAI': 'ygorb@nsf.gov', 'PO_PHON': '7032922113'}

This project will develop both analytical and computational tools for data-driven applications. In particular, analytical tools will hold great promise to provide theoretical guidance on how to acquire data more efficiently than current practices. To retrieve useful information from data, numerical methods will be investigated with emphasis on guaranteed convergence and algorithmic acceleration. Thanks to close interactions with collaborators in data science and information technology, the investigator will ensure the practicability of the proposed research, leading to a real impact. The investigator will also devote herself to various outreach activities in the field of data science. For example, she will initiate a local network of students, faculty members, and domain experts to develop close ties between mathematics and industry as well as to broaden career opportunities for mathematics students. This initiative will have a positive impact on the entire mathematical sciences community. In addition, she will advocate for the integration of mathematical modeling into K-16 education by collaborating with The University of Texas at Dallas Diversity Scholarship Program to reach out to mathematics/sciences teachers.<br/><br/>This project addresses important issues in extracting insights from data and training the next generation in the "big data" era. The research focuses on signal/image recovery from a limited number of measurements, in which "limited" refers to the fact that the amount of data that can be taken or transmitted is limited by technical or economic constraints. When data is insufficient, one often requires additional information from the application domain to build a mathematical model, followed by numerical methods. Questions to be explored in this project include: (1) how difficult is the process of extracting insights from data? (2) how should reasonable assumptions be taken into account to build a mathematical model? (3) how should an efficient algorithm be designed to find a model solution? More importantly, a feedback loop from insights to data will be introduced, i.e., (4) how to improve upon data acquisition so that information becomes easier to retrieve? As these questions mimic the standard procedure in mathematical modeling, the proposed research provides a plethora of illustrative examples to enrich the education of mathematical modeling. In fact, one of this CAREER award's educational objectives is to advocate the integration of mathematical modeling into K-16 education so that students will develop problem-solving skills in early ages. In addition, the proposed research requires close interactions with domain experts in business, industry, and government (BIG), where real-world problems come from. This requirement helps to fulfill another educational objective, that is, to promote BIG employment by providing adequate training for students in successful approaches to BIG problems together with BIG workforce skills.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/22/2024

01/22/2024

None

Grant

47.049

1

4900

4900

2414705

{'FirstName': 'Yifei', 'LastName': 'Lou', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yifei Lou', 'EmailAddress': 'yflou@unc.edu', 'NSF_ID': '000680509', 'StartDate': '01/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of North Carolina at Chapel Hill', 'CityName': 'CHAPEL HILL', 'ZipCode': '275995023', 'PhoneNumber': '9199663411', 'StreetAddress': '104 AIRPORT DR STE 2200', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'D3LHU66KBLD5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL', 'ORG_PRNT_UEI_NUM': 'D3LHU66KBLD5'}

{'Name': 'University of North Carolina at Chapel Hill', 'CityName': 'CHAPEL HILL', 'StateCode': 'NC', 'ZipCode': '275995023', 'StreetAddress': '104 AIRPORT DR STE 2200', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}

{'Code': '127100', 'Text': 'COMPUTATIONAL MATHEMATICS'}

['2022~59310', '2023~82230']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414705.xml'}

PFI-RP: Advanced Anomaly Detection and Diagnostics for Electrical Devices and Networks

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact of this Partnerships for Innovation - Research Partnerships (PFI-RP) project is to enhance the reliability and security of electrical devices and networks within modern infrastructure including, but not limited to, buildings, manufacturing systems, and hospitals. This PFI-RP project introduces a smart sensor capable of detecting anomalies, pinpointing their locations, and diagnosing issues in electrical devices and networks. The algorithms and designs developed may also contribute to the broader field of anomaly detection and diagnosis beyond electrical signals. The project team will provide training to undergraduate and graduate students, in addition to middle school teachers. Collaborations with the Peach State Louis Stokes Alliances for Minority Participation (LSAMP) and the NSF Research Experiences for Undergraduates (REU) programs will be nurtured to support these efforts. Strategic partnerships with industry leaders offer vital insights and provide educational and leadership opportunities for graduate students and postdoctoral researchers.<br/><br/>The project brings together a strong partnership involving academia, represented by the University of Georgia (UGA), and prominent industry leaders, including General Electric (GE), United States Robins Air Force Base (RAFB), Siemens America (Siemens), and NEC Laboratories America (NEC) to explore the commercialization of an electrical sensing technology for scalable anomaly detection and diagnosis in electrical devices and networks. The UGA team has collaborated with industrial partners RAFB and GE successfully in anomaly detection and diagnosis in joint projects. The impact spans from small-scale applications (e.g., homes, buildings, factories) to large-scale scenarios (e.g., distribution networks to transmission networks of main grids). This adaptability facilitates dynamic data processing, allowing the installation of varying numbers of smart sensors. Additionally, the technology offers customized programming and low-cost, flexible deployments, which can be easily installed by plugging into an electrical outlet in residential and commercial settings.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/07/2024

08/07/2024

None

Grant

47.084

1

4900

4900

2414706

[{'FirstName': 'WenZhan', 'LastName': 'Song', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'WenZhan Song', 'EmailAddress': 'wsong@uga.edu', 'NSF_ID': '000308356', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jin', 'LastName': 'Ye', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jin Ye', 'EmailAddress': 'jin.ye@uga.edu', 'NSF_ID': '000730301', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Annarita', 'LastName': 'Giani', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Annarita Giani', 'EmailAddress': 'annarita.giani@ge.com', 'NSF_ID': '000880600', 'StartDate': '08/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Georgia Research Foundation Inc', 'CityName': 'ATHENS', 'ZipCode': '306021589', 'PhoneNumber': '7065425939', 'StreetAddress': '310 E CAMPUS RD RM 409', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'GA10', 'ORG_UEI_NUM': 'NMJHD63STRC5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF GEORGIA RESEARCH FOUNDATION, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Georgia Research Foundation Inc', 'CityName': 'ATHENS', 'StateCode': 'GA', 'ZipCode': '306021589', 'StreetAddress': '310 E CAMPUS RD RM 409', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'GA10'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~1000000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414706.xml'}

Atomic-Layer Dependent Adhesion of Two-Dimensional Transitional Metal Carbides (MXenes)

NSF

10/01/2023

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'David Fyhrie', 'PO_EMAI': 'dfyhrie@nsf.gov', 'PO_PHON': '7032922107'}

A novel large family of low dimensional materials, 2D transition metal carbides (MXenes), have shown excellent electronic and optical properties that are often superior compared to other 2D materials. Importantly and in contrast to other 2D materials, these properties can be systematically varied and studied within the same family, without changing elemental composition and type of interatomic bonds in the material. These unique features make MXenes equally interesting for fundamental science and application development, where they can be used in new planar and flexible devices, leading to new technologies and significant economic impacts. Some of these applications that are researched now include health monitoring sensors, high performance energy harvesting and storage systems, and chemo-photothermal cancer therapy. However, the adhesion of MXenes, which is critical in many of these applications, has yet to be systematically investigated. To date, there have only been a few theoretical studies of the adhesive behavior of MXenes, with little to no experimental data. In a broader sense, experimental determination of adhesive properties of MXenes will contribute to our understanding of the fundamental relationships between adhesion and atomic structures for low dimensional materials. This could revolutionize the modern materials and manufacturing industries in harnessing the adhesion for coatings and planar devices made of low dimensional materials.<br/><br/>The goals of the project are to: (i) systematically investigate the adhesive interactions of MXenes at the atomistic, nano- and micrometer scales, (ii) using the unique advantages provided by MXenes, systematically and separately examine the effects of surface functional groups and monolayer thickness of 2D materials on their adhesive interactions, and (iii) explore the environmental effects on the adhesion of MXenes including surface water and oxidation process. To achieve the goals, we intend to: (1) utilize the atomistic scale contact-based experiments to investigate the effect of atomic structures and surface terminations on the adhesion, (2) employ nanoindentation to understand the interfacial traction-separation relations of MXenes with themselves and other materials, (3) explore the potential use of in-situ nano-shear-lag experiments to investigate the shear interactions of MXenes, (4) combine the multiscale modeling and the experimental results to understand the coupled adhesive mechanisms involving the surface defects, terminations, monolayer thickness, and (5) explore the possible evaluation of the effects of surface water and oxidation process on the adhesion of MXenes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/30/2024

01/30/2024

None

Grant

47.041

1

4900

4900

2414708

{'FirstName': 'Chenglin', 'LastName': 'Wu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chenglin Wu', 'EmailAddress': 'chenglinwu@tamu.edu', 'NSF_ID': '000743440', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433124', 'StreetAddress': '3124 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

[{'Code': '163000', 'Text': 'Mechanics of Materials and Str'}, {'Code': '164200', 'Text': 'Special Initiatives'}]

['2019~142923', '2021~16000']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414708.xml'}

I-Corps: Translation potential of stereolithography 3D printing to create soft elastomers

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Jaime A. Camelio', 'PO_EMAI': 'jcamelio@nsf.gov', 'PO_PHON': '7032922061'}

The broader impact of this I-Corps project is focused on the development of soft 3D printing materials that can be used in anatomical models, with the goal of reducing the training times and costs associated with medical and surgical education. The project aims to improve the efficiency of healthcare training methods by enabling high rates of hands-on practice across a broad range of medical training scenarios. Accessible training tools can help address the shortage of nurses and doctors, reduce healthcare costs, and save lives through the reduction of medical complications.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on a rubber resin that can be used in high-resolution, yet accessible and off-the-shelf 3D printers. While the majority of commercially available 3D printable resins demonstrate the mechanical properties of hard plastics, this proprietary technology allows the creation of parts that are softer than common materials on the market. The introduction of the new resin will enable the rapid prototyping of high-resolution rubber components with complex geometries that would be prohibitive to produce using conventional manufacturing methods.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/01/2024

04/01/2024

None

Grant

47.084

1

4900

4900

2414710

{'FirstName': 'Victoria', 'LastName': 'Webster-Wood', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Victoria A Webster-Wood', 'EmailAddress': 'vwebster@andrew.cmu.edu', 'NSF_ID': '000788261', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133890', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414710.xml'}

Collaborative Research: US GEOTRACES GP17-ANT: Answering key questions in marine particle trace element biogeochemistry in the Amundsen Sea

NSF

01/01/2024

11/30/2026

{'Value': 'Standard Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Henrietta Edmonds', 'PO_EMAI': 'hedmonds@nsf.gov', 'PO_PHON': '7032927427'}

The goal of the international GEOTRACES program is to understand the distributions of trace chemical elements and their isotopes in the oceans. This project will generate a dataset of 40 trace elements on suspended particles and surface sediment samples collected on the GEOTRACES GP17-ANT cruise to the Amundsen Sea, West Antarctica. The Amundsen Sea hosts the most productive polynya per unit area in all of Antarctica, with biological carbon uptake ten times higher than the average for the Southern Ocean. Over the past 30 years, this region has become a primary locus of increased freshwater input, as the fastest melting glaciers in West Antarctica deliver huge and increasing volumes of freshwater to the Amundsen Sea. The major contribution of this region to global sea level rise is well documented, but the impact of accelerated additions of meltwater and associated chemical constituents on the biogeochemistry of the Antarctic shelf waters, and in particular on the cycling of trace elements, has not received comprehensive investigation. Hypotheses addressing four key components of the biogeochemical system in the Amundsen Sea will be tested, and results will closely mesh with complementary efforts proposed by other GP17-ANT investigators. The project will support a graduate student and several undergraduate interns, with a focus on broadening participation in STEM. The investigators will also work with established programs to create meaningful out-of-school science experiences for middle and high school students.<br/><br/>The aim of the project is to quantify and interpret the distributions of particulate trace elements in approximately 500 samples covering a large swath of the Amundsen Sea shelf, including waters influenced by five major ice shelves, and in the adjacent iron-limited Southern Ocean waters bounded by 100°W and 135°W, and south of 67°S. The investigators will use size-fractionated sample collection, total acid digestion and weak acid leaching, and well-established mass spectrometric methods to determine concentrations and probe the physico-chemical state of the particulate trace elements. The team will use the new data to investigate the following issues: 1) the role of phytoplankton, with a focus on Phaeocystis and diatoms, dominant taxa on the Amundsen Sea shelf, in driving element cycling in the upper water column while experiencing variable degrees of iron stress; 2) the “meltwater pump” which generates vigorous and particle-rich outflow from ice shelf cavities; 3) the bottom nepheloid layer of resuspended sediments as a reaction zone that determines the composition of the sedimentary paleo-record and also modulates of chemical fluxes at the sediment-water boundary; and 4) the rare earth elements (REE), which the team proposes carry unique geochemical information about terrigenous particle provenance among the geologically diverse glacial drainage regions, and also includes a labile particulate fraction whose magnitude and inter-element ratios may serve as a relative index of element scavenging intensity that can be applied to predict regions of maximal scavenging for other particle-reactive elements.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/06/2024

06/06/2024

None

Grant

47.050

1

4900

4900

2414712

{'FirstName': 'Peter', 'LastName': 'Morton', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter Morton', 'EmailAddress': 'pete.morton@tamu.edu', 'NSF_ID': '000589459', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKY S STE 30', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'JF6XLNB4CDJ5', 'ORG_LGL_BUS_NAME': 'TEXAS A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433146', 'StreetAddress': '3146 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

{'Code': '167000', 'Text': 'Chemical Oceanography'}

2022~300380

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414712.xml'}

Advances in Global Programming for Pioneering Next-Generation Inverse Material Characterization Methods

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Reha Uzsoy', 'PO_EMAI': 'ruzsoy@nsf.gov', 'PO_PHON': '7032922681'}

This award will contribute to the advancement of national prosperity and manufacturing capabilities by supporting study of state-of-the-art computational approaches for accurately characterizing the mechanical behavior of materials critical to sectors such as defense, construction, and energy. This research will develop generalizable analytical methods for material characterizations with unprecedented accuracy in significantly reduced time, taking into account experimental errors and inhomogeneous materials and significantly accelerating the discovery of new materials. The interdisciplinary nature of this research will create new channels of communication between academics and practitioners, train a doctoral student in interdisciplinary research through multilateral collaboration with national laboratories and create educational materials for both operations research and materials science.<br/><br/>This research will establish a global programming epsilon-optimal spatial branching technique based on a novel class of efficient convex underestimators with proven asymptotic convergence. An innovative decomposition-based scheme will be introduced that achieves data decoupling through a regularization procedure, enabling separability into tractable sub-optimization problems allowing convergence to an epsilon-optimal robust solution. Finally, the research will introduce a new nested spatial branching scheme that solves a class of constraint-based multi-objective problems through a reformulation scheme, casting the problem as an equivalent bilevel optimization problem. This research fills an important gap in the optimization literature by introducing scalable global programming techniques that can handle challenging non-convex structures. It will also advance our understanding of how to effectively use data for the accurate characterization of material mechanics and for predicting their behavior, even when faced with extrinsic uncertainties and intrinsic material variabilities. The performance assessments of the optimization approaches will be informed by data obtained through collaborations with national laboratories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/10/2024

07/10/2024

None

Grant

47.041

1

4900

4900

2414715

[{'FirstName': 'Dinakar', 'LastName': 'Sagapuram', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dinakar Sagapuram', 'EmailAddress': 'dinakar@tamu.edu', 'NSF_ID': '000715612', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Hrayer', 'LastName': 'Aprahamian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hrayer Aprahamian', 'EmailAddress': 'hrayer@tamu.edu', 'NSF_ID': '000801611', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778400001', 'StreetAddress': 'Emerging Technologies Building', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

{'Code': '006Y00', 'Text': 'OE Operations Engineering'}

2024~415754

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414715.xml'}

CAREER: Chemomechanics of 2D Transition Metal Materials

NSF

10/01/2023

09/30/2026

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Siddiq Qidwai', 'PO_EMAI': 'sqidwai@nsf.gov', 'PO_PHON': '7032922211'}

This Faculty Early Career Development (CAREER) project aims to reveal the fundamental coupling between the chemical reactivity and mechanics of two-dimensional (2D) transition metal materials. Being mostly surfaces, the high chemical reactivity of 2D transition metal materials makes them ideal for chemical and biological sensing for environmental and health condition monitoring. However, the same chemically active nature makes 2D transition metal materials vulnerable to attacks from the complex environmental conditions. Understanding the coupled chemo-mechanical coupling is critical in synthesis, design, and fabrication of resilient 2D transition metal material devices. In this project, advanced experimental methods will be used to understand the underlying mechanisms that give rise to this coupling, which will advance the performance of these materials and accelerate their integration in industrial applications. The education and outreach plan will be centered on equipping students with the state of art knowledge and skills in 2D materials. The plan includes participation of underrepresented students from the rural Ozark school districts in the summer research program and recruitment of undergraduate STEM students to join the research team in reaching out to local medical communities. Recently developed prototype devices such as 2D antibacterial filters and MXene field effect transistors will be showcased in the summer camp program and outreach science tours.<br/><br/>The PI’s research team will achieve investigate chemo-mechanical coupling in 2D materials from three perspectives: (1) identifying the role of mechanical strain in affecting the chemical reactivity, (2) investigating the chemical reaction induced adhesion degradation, and (3) discovering the fracture behavior of chemically reacted 2D transition metal materials. MoS2 (typical 2D transition metal dichalcogenides, or TMDs) and Ti3C2O (typical 2D transition metal carbides, or MXenes) will be used as the template materials and oxidation will serve as the model chemical reaction. The PI will characterize the chemo-mechanical coupling mechanisms utilizing the newly developed experimental approaches including, (1) mechanically strained oxidation, (2) atomic force microscope (AFM) adhesion characterization with functionalized probe, and (3) in-situ scanning electron microscope (SEM) and transmission electron microscope (TEM) fracture experiments in combination with chemical reaction characterizations. Atomistic modeling and continuum mechanics-based theories will also be established to rationalize these characterized chemo-mechanical coupling mechanisms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/18/2024

01/18/2024

None

Grant

47.041

1

4900

4900

2414716

{'FirstName': 'Chenglin', 'LastName': 'Wu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chenglin Wu', 'EmailAddress': 'chenglinwu@tamu.edu', 'NSF_ID': '000743440', 'StartDate': '01/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433124', 'StreetAddress': '3124 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

[{'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}, {'Code': '163000', 'Text': 'Mechanics of Materials and Str'}]

2021~468487

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414716.xml'}

Collaborative Research: Chemo-Physics and Molecular Design of In-situ Hydrogel-MXene Biosensors

NSF

12/15/2023

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Aleksandr Simonian', 'PO_EMAI': 'asimonia@nsf.gov', 'PO_PHON': '7032922191'}

Colorectal cancer (CRC) has a significant global impact, affecting 2 million people worldwide and standing as the third leading cause of cancer-related deaths in the United States. Technologies that enable in-situ monitoring of biomarkers closely related to the development and progression of CRC are highly desirable for timely diagnosis, early intervention, and personalized treatment of CRC. However, the complicated chemical, biological, and mechanical factors within complex physiological environments present substantial challenges in achieving specific, sensitive, and durable early detection of CRC. With support from the Biosensing Program in the Division of Chemical, Bioengineering, Environmental and Transport Systems and the Chemical Measurement and Imaging Program in the Division of Chemistry, the research groups of Prof. Shaoting Lin (Michigan State University), Prof. Chenglin Wu (Missouri University of Science and Technology), and Prof. Xinyue Liu (Michigan State University) aim to overcome these challenges by developing in-situ hydrogel-MXene biosensors capable of detecting low-level CRC biomarkers (e.g., carcinoembryonic antigen (CEA)) in simulated intestinal environments. The in-situ hydrogel-MXene biosensor will potentially lead to a big leap in bioelectronics, offering transformative impacts in disease diagnostics and paving the way for personalized healthcare. In addition, this project is expected to foster the development of the next-generation workforce in emerging biotechnologies through multi-institutional and interdisciplinary efforts including the integration of new topics in undergraduate courses and the promotion of STEM fields to encourage more students to engage in these areas of study.<br/><br/>The goal of this project is to integrate selective-permeable hydrogels with MXene-based field-effect transistors for developing high-performance hydrogel-MXene biosensors that can achieve in-situ detection of low-level colorectal cancer (CRC) biomarkers (e.g., carcinoembryonic antigen (CEA)) in simulated intestinal environments while mitigating the influence of mobile ions. To achieve this, this project will leverage molecular design of reversible interaction, network topology, and fixed charge in hydrogels to modulate hydrogel-intestine interactions for selective biomolecular transport and to regulate hydrogel-MXene interactions for improved field-effect sensing performance. Specifically, this project will leverage the synergy of network elasticity and reversible interaction in hydrogels to independently modulate the transport of target and non-target biomolecules, thereby enabling selective and enhanced transport. In addition, this project will harness the combined efforts of molecular design, atomic simulation, and DFT calculation to optimize the design of network topology and fixed charge density of hydrogels, thus maximizing the Debye length, reduce the capacitance, and tune the bandgap at the hydrogel-MXene interface. Finally, this project will incorporate the explored hydrogel design principles to build a high-performing hydrogel-MXene biosensor capable of quantifying CRC biomarkers in simulated intestinal environments.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/04/2024

04/04/2024

None

Grant

47.041

1

4900

4900

2414719

{'FirstName': 'Chenglin', 'LastName': 'Wu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chenglin Wu', 'EmailAddress': 'chenglinwu@tamu.edu', 'NSF_ID': '000743440', 'StartDate': '04/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433124', 'StreetAddress': '3124 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

{'Code': '790900', 'Text': 'BIOSENS-Biosensing'}

2023~258083

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414719.xml'}

Collaborative Research: Correlated Phases in an Unusual Family of Crystalline 2D Materials

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Elizabeth Mann', 'PO_EMAI': 'elmann@nsf.gov', 'PO_PHON': '7032922655'}

Non-technical Abstract<br/><br/>Two-dimensional (2D) semiconductors have been at the focus of condensed matter physics, driving the exploration of fundamental principles, novel quantum matter, and advanced functional devices. The moiré superlattices of 2D semiconductors allow for the emergence of diverse correlated-electron phases within a single device due to advantageous electric gate tunability yet suffers from challenges in achieving spatial inhomogeneity and reproducibility. Remarkably, naturally occurring crystalline multilayer graphene, a family of 2D semiconductors with electric-field tunable band gaps, provide an ideal and highly reproducible platform for studying similarly diverse correlated-electron phases within a single device, eliminating the need for moiré engineering. This project aims to investigate the emergent phenomena, phases, properties, and principles in this unique platform. The anticipated outcomes of this project are expected to benefit society through the research results and outreach initiatives. Its success will also illuminate the transformative potential of ultra-thin low-dissipation quantum chips in advancing next-generation information technology and sustainable energy solutions. Key educational endeavors integrated into the research include: (i) fostering participation from under-represented groups, (ii) mentoring STEM undergraduate students from MIT, UTD, and REU programs, (iii) enhancing existing public outreach and K-12 education by developing demonstration module and lessons on 2D semiconductors. <br/><br/>Technical Abstract<br/><br/>Built upon the high material quality, electric gate tunability, and presence of strongly interacting electrons within highly reproducible rhombohedral graphene multilayers, this project aims to establish an exceptional platform focused on this distinctive family of crystalline 2D semiconductors. The goal is to investigate spontaneous symmetry breaking, demonstrate novel correlated phases of matter, and provide new insights into fundamental principles governing the intricate interplay between geometry, symmetry, topology, and interaction. This project leverages strong and complementary expertise in both experimental and theoretical domains, fostering an established collaboration. Successful implementation of the project will actualize the potential of rhombohedral graphene semiconductors in discovering, realizing, and optimizing a variety of exotic correlated phases of matter that are rare otherwise. These advancements will not only contribute to new knowledge in correlated electrons and semiconductor physics but may also pave the way for transforming next-generation information technology and sustainable energy solutions, utilizing ultra-thin low-dissipation quantum chips.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/09/2024

07/09/2024

None

Grant

47.049

1

4900

4900

2414725

{'FirstName': 'Long', 'LastName': 'Ju', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Long Ju', 'EmailAddress': 'longju@mit.edu', 'NSF_ID': '000806004', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'E2NYLCDML6V1', 'ORG_LGL_BUS_NAME': 'MASSACHUSETTS INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'E2NYLCDML6V1'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021394301', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}

2024~360000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414725.xml'}

Collaborative Research: Correlated Phases in an Unusual Family of Crystalline 2D Materials

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Elizabeth Mann', 'PO_EMAI': 'elmann@nsf.gov', 'PO_PHON': '7032922655'}

Non-technical Abstract<br/><br/>Two-dimensional (2D) semiconductors have been at the focus of condensed matter physics, driving the exploration of fundamental principles, novel quantum matter, and advanced functional devices. The moiré superlattices of 2D semiconductors allow for the emergence of diverse correlated-electron phases within a single device due to advantageous electric gate tunability yet suffers from challenges in achieving spatial inhomogeneity and reproducibility. Remarkably, naturally occurring crystalline multilayer graphene, a family of 2D semiconductors with electric-field tunable band gaps, provide an ideal and highly reproducible platform for studying similarly diverse correlated-electron phases within a single device, eliminating the need for moiré engineering. This project aims to investigate the emergent phenomena, phases, properties, and principles in this unique platform. The anticipated outcomes of this project are expected to benefit society through the research results and outreach initiatives. Its success will also illuminate the transformative potential of ultra-thin low-dissipation quantum chips in advancing next-generation information technology and sustainable energy solutions. Key educational endeavors integrated into the research include: (i) fostering participation from under-represented groups, (ii) mentoring STEM undergraduate students from MIT, UTD, and REU programs, (iii) enhancing existing public outreach and K-12 education by developing demonstration module and lessons on 2D semiconductors. <br/><br/>Technical Abstract<br/><br/>Built upon the high material quality, electric gate tunability, and presence of strongly interacting electrons within highly reproducible rhombohedral graphene multilayers, this project aims to establish an exceptional platform focused on this distinctive family of crystalline 2D semiconductors. The goal is to investigate spontaneous symmetry breaking, demonstrate novel correlated phases of matter, and provide new insights into fundamental principles governing the intricate interplay between geometry, symmetry, topology, and interaction. This project leverages strong and complementary expertise in both experimental and theoretical domains, fostering an established collaboration. Successful implementation of the project will actualize the potential of rhombohedral graphene semiconductors in discovering, realizing, and optimizing a variety of exotic correlated phases of matter that are rare otherwise. These advancements will not only contribute to new knowledge in correlated electrons and semiconductor physics but may also pave the way for transforming next-generation information technology and sustainable energy solutions, utilizing ultra-thin low-dissipation quantum chips.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/09/2024

07/09/2024

None

Grant

47.049

1

4900

4900

2414726

{'FirstName': 'Fan', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Fan Zhang', 'EmailAddress': 'zhang@utdallas.edu', 'NSF_ID': '000689903', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas at Dallas', 'CityName': 'RICHARDSON', 'ZipCode': '750803021', 'PhoneNumber': '9728832313', 'StreetAddress': '800 WEST CAMPBELL RD.', 'StreetAddress2': 'SP2.25', 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'TX24', 'ORG_UEI_NUM': 'EJCVPNN1WFS5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT DALLAS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Dallas', 'CityName': 'RICHARDSON', 'StateCode': 'TX', 'ZipCode': '750803021', 'StreetAddress': '800 WEST CAMPBELL RD.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'TX24'}

{'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}

2024~299998

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414726.xml'}

PFI:RP: Reliable Electronic Device Authentication to Protect Supply Chain

NSF

07/15/2024

06/30/2027

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact of this Partnerships for Innovation – Research Partnership (PFI-RP) project is envisioned across several segments of the automotive industry. The project focuses on developing a reliable technology for authenticating electronic devices, an integral part of modern vehicle production, to reduce the spread of counterfeit parts and prevent unauthorized sales of excess manufactured components. This technology enhances operational efficiency and compliance with standards, while also strengthening market reputation. Suppliers and manufacturers of electronic parts gain a protective measure against the distribution of unauthorized components, safeguarding their brand value and consumer trust. The technology developed through this project will enable auto repair/service shops and dealerships to accurately localize and repair faulty components. The technology will also protect both retailers and consumers within the aftermarket sector from counterfeit parts, fostering a fair and quality-driven trading environment. The solution will assist the automotive industry in maintaining product integrity, streamlining operations, and enhancing customer trust, especially in autonomous vehicles. Finally, the project will train the next generation of entrepreneurs by providing hands-on experience in product development.<br/><br/>This project seeks to develop a technology for the reliable authentication of various electronic components in vehicles, including Electronic Control Units (ECUs), Advanced Driver-Assistance Systems (ADAS), Telematics Control Units (TCUs), sensors, actuators, and microcontrollers, using unique, device-specific digital signatures. The primary goal is to create high-quality prototypes that consistently verify the integrity of these electronic devices throughout a vehicle's lifecycle, including during the design, operation, service, and end-of-life maintenance phases. The technology is designed to enhance data traceability and ensure the accuracy of product development documents during the design process. The technology also plays a crucial role in protecting the transportation industry from cyber threats associated with counterfeit or imitation electronic components. The team has successfully demonstrated the feasibility of this technology in authenticating electronic devices. Leveraging this success, the team is committed to transforming research into marketable products with the assistance of industry partners. These collaborations are essential for refining and developing the technology, testing it against industry standards, and expediting the market introduction process.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/08/2024

07/08/2024

None

Grant

47.084

1

4900

4900

2414729

[{'FirstName': 'Mark', 'LastName': 'Zachos', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mark Zachos', 'EmailAddress': 'mzachos@dgtech.com', 'NSF_ID': '000990556', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Alireza', 'LastName': 'Mohammadi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alireza Mohammadi', 'EmailAddress': 'amohmmad@umich.edu', 'NSF_ID': '000786512', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Hafiz', 'LastName': 'Malik', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hafiz Malik', 'EmailAddress': 'hafiz@umich.edu', 'NSF_ID': '000504526', 'StartDate': '07/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Regents of the University of Michigan - Dearborn', 'CityName': 'Dearborn', 'ZipCode': '481282406', 'PhoneNumber': '7347636438', 'StreetAddress': '4901 EVERGREEN RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'MI12', 'ORG_UEI_NUM': 'RY78VSF6P4G3', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Dearborn', 'CityName': 'Dearborn', 'StateCode': 'MI', 'ZipCode': '481282406', 'StreetAddress': '4901 EVERGREEN RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'MI12'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~1000000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414729.xml'}

PFI-TT: High-Performance Nanostructured Pads for Efficient Electronics Cooling

NSF

07/15/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to provide an innovative solution to the heat dissipation challenge at the interfaces between electronics and cooling systems. With continually increasing power density, the performance of heat dissipation technologies has become a dominant limiting factor in maintaining the safe and stable operation of electronics. The technology being developed in this PFI project enables electronics to operate at lower temperatures, thereby enhancing their performance and reliability. Additionally, in data centers where cooling demands consume vast amounts of water and electricity, this technology can significantly improve thermal management and energy efficiency, contributing to industrial decarbonization and climate change mitigation.<br/><br/>The team investigates scalable and cost-effective manufacturing strategies for mass producing high-performance, nanostructured, thermal pads and exploring their integration with existing products to realize their full commercialization potential. The high-performance, nanostructured, thermal pads developed in this project could resolve the critical challenge of heat dissipation by substantially reducing thermal interface resistance and enhancing system reliability. The high compliance and flexibility of the new nanostructured thermal pads enables absorption of thermal stresses due to the different coefficients of expansion of two mating materials. The materials will also accommodate dynamic structural stresses and vibrations, which will significantly improve device or system reliability. Scalable and cost-effective manufacturing technologies will be developed to accelerate the commercialization of the nanostructured thermal pads. Through the collaboration with the industry partner, the nanostructured thermal pads will undergo comprehensive validations to meet industrial needs for commercialization.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/02/2024

07/02/2024

None

Grant

47.084

1

4900

4900

2414733

{'FirstName': 'Sheng', 'LastName': 'Shen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sheng Shen', 'EmailAddress': 'sshen1@cmu.edu', 'NSF_ID': '000624423', 'StartDate': '07/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~550000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414733.xml'}

EAGER: Algorithms for Analyzing Faulty Data Using Domain Information

NSF

03/01/2024

02/28/2026

{'Value': 'Standard Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'Karen Karavanic', 'PO_EMAI': 'kkaravan@nsf.gov', 'PO_PHON': '7032922594'}

The focus of this project is the building of a mathematical theory for analyzing large data that contains errors by taking advantage of domain knowledge regarding the processes that have created the data, as well as the error model. The project contains three thrusts, listed from the most well-defined to the most exploratory. The first thrust involves analyzing genomic data in order to investigate tumor evolution trees that lead to the development of cancer. The second involves analyzing faulty data generated by computer networks while utilizing information about the network such as its topology and delay pattern. The third is exploring other areas for which the techniques developed for the first two thrusts apply, making progress towards the goal of developing general techniques for analyzing faulty data in the absence of a known ground truth using domain information.&lt;br/&gt;&lt;br/&gt;In the model that this project assumes, the input contains errors that have been probabilistically generated according to a known distribution in unknown locations. The goal that the investigator would like to explore is the creation of sampling techniques that do not blindly take random samples from the prohibitively large space for the ground truth; rather, it is to use the knowledge about restrictions that limit the possible space that could have led to the noisy input and analyze this much smaller space. In particular, the first focus of this project is to explore how such information can be used to generate efficient sampling techniques in order to infer properties of tumor progression trees, and, later on, more general phylogenetic trees. Later parts of this project involve applying this knowledge to routing graphs and other data with underlying well-structured graphs. Since such techniques rely on graph-theoretic assumptions underlying the inputs, the goal for all three thrusts is to develop widely applicable probabilistic techniques that will help one analyze noisy graph information in general, pushing existing theoretical knowledge forward, as well as bringing a better understanding to applied areas with strong theoretical underpinnings.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/08/2024

03/08/2024

None

Grant

47.070

1

4900

4900

2414736

{'FirstName': 'Funda', 'LastName': 'Ergun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Funda Ergun', 'EmailAddress': 'fergun@indiana.edu', 'NSF_ID': '000662735', 'StartDate': '03/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Indiana University', 'CityName': 'BLOOMINGTON', 'ZipCode': '474057000', 'PhoneNumber': '3172783473', 'StreetAddress': '107 S INDIANA AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'IN09', 'ORG_UEI_NUM': 'YH86RTW2YVJ4', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF INDIANA UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Indiana University', 'CityName': 'BLOOMINGTON', 'StateCode': 'IN', 'ZipCode': '474083901', 'StreetAddress': '700 N Woodlawn Avenue', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'IN09'}

{'Code': '7796', 'Text': 'Algorithmic Foundations'}

2024~300000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414736.xml'}

Conference: International Year of Quantum (IYQ) Educational Leadership Conferences

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '11090000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DRL', 'LongName': 'Division Of Research On Learning'}}

{'SignBlockName': 'Wu He', 'PO_EMAI': 'wuhe@nsf.gov', 'PO_PHON': '7032920000'}

International Year of Quantum Educational Leadership Conferences (IYQ Conferences), a partnership between Stony Brook University and Brookhaven National Laboratory (BNL), will advance physical science literacy and diversify the science, technology, engineering, and mathematics (STEM) pipeline by disseminating critical information regarding quantum information science and technology (QIST) access, teaching, and learning for K-12 school district leaders, teachers, and students. IYQ Conferences are planned for Fall 2024 to coincide with the upcoming International Year of Quantum in 2025. This innovative approach to K-12 quantum education will be a replicable model for grass-roots efforts to implement quantum learning and reform state-level STEM curricula to reflect QIST advancements in research and practice. The first one-day conference, the IYQ School District Leadership Conference, will host 100 STEM leaders who serve as superintendents, assistant superintendents, and/or STEM directors. The project will strengthen their commitment to district-wide quantum education so they may facilitate QIST learning. The second one-day conference, the IYQ Teacher Leadership Conference, will host 120 K-12 STEM teachers and 40 high school students at BNL. This event is designed to engage, inspire, and motivate K-12 teachers and students in learning QIST research innovations and connection to STEM disciplinary content. When considering indirect impacts, the 100 school district leaders oversee approximately 250,000 K-12 students, and the 120 teacher participants will indirectly impact 15,000 K-12 students, for a total of 265,000 students. This represents a monumental large-scale effort to broaden participation in QIST education. In addition, a newly formed EduQation Network will disseminate resources and opportunities to all district leaders and teachers throughout the Southeast New York region and beyond.<br/><br/>IYQ Conferences will focus upon diversity in two ways: (1) promoting quantum sciences and computing among precollege school district leaders, teachers, and students, particularly those with high representations of traditionally underserved students, and (2) establishing a regional network for coordinating resources and training for implementing QIST curricula and promoting careers in developing next-generation technologies. Research and evaluation activities are aligned with the overarching goals of ITEST, including (1) the development of QIST knowledge and practices that promote critical thinking, reasoning, and communication skills; and (2) increased student knowledge and interest in QIST careers and academic pathways. The research and evaluation plan will measure both immediate and midterm outcomes for school district leaders, teachers, and students. The research plan includes both quantitative and qualitative components to measure immediate outcomes and outcomes 3-4 months post-conference. The project team will further analyze outcomes with a 6-month review of participant involvement in the newly developed QIST education network. The outcomes will be analyzed through quantitative measurement of website views and posts, along with interviews with teachers and administrators to determine district-level policy shifts and initiatives and teacher implementation of QIST content and career advisement. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/22/2024

05/22/2024

None

Grant

47.076

1

4900

4900

2414742

[{'FirstName': 'Dominik', 'LastName': 'Schneble', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dominik Schneble', 'EmailAddress': 'Dominik.Schneble@stonybrook.edu', 'NSF_ID': '000078054', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Angela', 'LastName': 'Kelly', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Angela M Kelly', 'EmailAddress': 'angela.kelly@stonybrook.edu', 'NSF_ID': '000499016', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Tzu-Chieh', 'LastName': 'Wei', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tzu-Chieh Wei', 'EmailAddress': 'tzu-chieh.wei@stonybrook.edu', 'NSF_ID': '000602954', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'ZipCode': '117940001', 'PhoneNumber': '6316329949', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL L', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NY01', 'ORG_UEI_NUM': 'M746VC6XMNH9', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'StateCode': 'NY', 'ZipCode': '117940001', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL LIBRARY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NY01'}

{'Code': '722700', 'Text': 'ITEST-Inov Tech Exp Stu & Teac'}

2024~99983

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414742.xml'}

Boosting the Cold Chain Efficiency through Integrated, Magnetoelectric, Piezoelectric and Ferroelectric devices in pAssive on-Chip Tags (IMPACT)

NSF

07/01/2024

06/30/2027

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Jenshan Lin', 'PO_EMAI': 'jenlin@nsf.gov', 'PO_PHON': '7032927360'}

Enhancing the efficiency of supply and distribution chains responsible for the storage and transportation of refrigerated foods has never been so important. Currently, approximately 40% of food produced globally is wasted due to inadequate refrigeration practices. Avoiding these losses is a priority, particularly in light of the anticipated food shortages resulting from climate change. Furthermore, the United States is impacted by hundreds of thousands of hospitalizations and thousands of deaths every year due to foodborne illnesses caused by undetected exposures of refrigerated items to inadequate temperatures. Similar challenges are also experienced by the pharmaceutical industry, which is increasingly relying on biologics and vaccines requiring deep-frozen or cryogenic storage temperatures. While the convergence of Artificial Intelligence (AI) with the Internet-of-Things (IoT) has generated new computational capabilities to improve the efficiency of the cold chain, using these capabilities requires having access to highly miniaturized and massively deployable wireless sensor nodes (WSNs) to remotely and continuously measure the temperature of any items with high sensitivity and long detection ranges, even when operating at exceptionally low temperatures. Developing such WSNs is critical to timely identifying any items undergoing temperature irregularities along the cold chain before it is too late for corrective actions. This project will leverage the team’s interdisciplinary expertise in micro- and nano-technology, nonlinear dynamics, electromagnetics, and microwave acoustics to demonstrate a new class of passive WSNs, namely the Remote Sensing and Identification Chips (RSICs). Through this project, a new chapter in the history of wireless sensing will be written by generating long-range remote sensing microsystems with mm-scale spatial resolution that can be manufactured en-mass through standard semiconductor processes. The team will also collaborate with the STEM education and workforce development program at Northeastern University to organize and host on-campus activities involving students and educators from K-12 schools, community colleges, and local schools, with the goal of stimulating greater engagement in STEM, particularly among underrepresented student populations.<br/><br/>The new RSICs will surpass all the limitations that have prevented practical implementations of chip-scale WSNs for identification and remote temperature sensing, significantly enhancing the remote sensing capabilities of passive WSNs operating in rich multipath settings. The RSICs will exploit the unique features of monolithically integrated magnetoelectric, piezoelectric, and ferroelectric devices, combined with unexplored dynamics of the exotic wave propagation features produced by acoustic metamaterials, to i) overcome the fundamental limit in the smallest size of passive WSNs, enabling a remote temperature sensing with mm-scale spatial resolutions; ii) achieve record-breaking long sensing ranges never attained before by any on-chip counterparts; iii) exhibit dynamically boosted sensing performance immune from clutter, multipath, and readers' self-interference. The RSICs will occupy an area more than 100 times smaller than their existing counterparts and can be manufactured with the same fabrication processes used to build integrated circuits for consumer electronics. Prototypes of the RSICs for both continuous temperature sensing and temperature threshold sensing will be developed by the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.041

1

4900

4900

2414743

[{'FirstName': 'Nian', 'LastName': 'Sun', 'PI_MID_INIT': 'X', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nian X Sun', 'EmailAddress': 'nian@ece.neu.edu', 'NSF_ID': '000061314', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Cristian', 'LastName': 'Cassella', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cristian Cassella', 'EmailAddress': 'c.cassella@northeastern.edu', 'NSF_ID': '000744280', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Luca', 'LastName': 'Colombo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Luca Colombo', 'EmailAddress': 'l.colombo@northeastern.edu', 'NSF_ID': '000920113', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}

2024~500000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414743.xml'}

Collaborative Research: Exploring Metastable Magnetic States in Unconventional Magnetic Domains of Two-dimensional van der Waals Magnets

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Mun Chan', 'PO_EMAI': 'mchan@nsf.gov', 'PO_PHON': '7032927104'}

Nontechnical Abstract:<br/><br/>Novel quantum materials with exotic electronic and magnetic properties offer a unique opportunity for developing future advanced computing technologies. Two-dimensional (2D) van der Waals (vdW) magnets have emerged as an ideal platform for exploring unique magnetic states and developing functional spintronic devices. Through a collaborative effort between the University of Wyoming and Colorado State University , this research delves into the unconventional magnetic properties of selected 2D vdW magnets. This interdisciplinary team employs both experimental and theoretical approaches, including nanofabrication, magnetotransport measurements, scanning tunneling microscopy, magnetic force microscopy, theoretical modeling, and first-principles calculations. These studies are expected not only to fill critical gaps in our scientific understanding but also to facilitate groundbreaking applications in spintronics-based computing. Furthermore, the project offers substantial research and educational opportunities for underrepresented minorities, first-generation college students, and female students in the fields of condensed matter physics, nanoscience, and nanotechnology. The accompanying graduate training program extends into high school outreach, collaborating with educators to integrate cutting-edge research into existing science curricula.<br/><br/>Technical Abstract:<br/><br/>Controllable magnetization dynamics offers a promising approach for achieving advanced computing using nanomagnetic devices, such as probabilistic bits (p-bits), voltage-controlled magnetic anisotropy, and spin-logic devices in information and communication technology applications. In this collaborative project, the research team focuses on exploring the novel magnetic properties of few-layer two dimensional van der Waals (2D vdW) magnets. The project has three primary objectives: 1) investigate the fundamental roles and behaviors of unconventional magnetic domains of the novel magnetic properties of few-layer 2D vdW magnets, 2) manipulate metastable magnetic phase transitions within these magnetic domains, and 3) uncover the mechanisms underlying magnetic switching in these materials. Various experimental and theoretical approaches are employed, including nanofabrication, magnetotransport, low-temperature magnetic force microscopy, spin-polarized scanning tunneling microscopy, theoretical modeling, and first-principle calculations. This research project expects to revolutionize the design and function of 2D vdW magnets, enabling the development of simple, energy-efficient, atomic-scale 2D vdW p-bits as fundamental components for the next generation of probabilistic computers. Additionally, the project's educational component provides invaluable opportunities for students and early-career researchers, equipping them with crucial knowledge and skills in advanced materials research and technology, thereby preparing them for significant contributions to the evolving field.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/31/2024

07/31/2024

None

Grant

47.049

1

4900

4900

2414748

{'FirstName': 'Jifa', 'LastName': 'Tian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jifa Tian', 'EmailAddress': 'jtian@uwyo.edu', 'NSF_ID': '000787852', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Wyoming', 'CityName': 'LARAMIE', 'ZipCode': '820712000', 'PhoneNumber': '3077665320', 'StreetAddress': '1000 E UNIVERSITY AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wyoming', 'StateCode': 'WY', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'WY00', 'ORG_UEI_NUM': 'FDR5YF2K32X5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WYOMING', 'ORG_PRNT_UEI_NUM': 'FDR5YF2K32X5'}

{'Name': 'University of Wyoming', 'CityName': 'LARAMIE', 'StateCode': 'WY', 'ZipCode': '820712000', 'StreetAddress': '1000 E UNIVERSITY AVE DEPARTMENT 3434', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Wyoming', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'WY00'}

[{'Code': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}, {'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}]

2024~483605

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414748.xml'}

Collaborative Research: Exploring Metastable Magnetic States in Unconventional Magnetic Domains of Two-dimensional van der Waals Magnets

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Mun Chan', 'PO_EMAI': 'mchan@nsf.gov', 'PO_PHON': '7032927104'}

Nontechnical Abstract:<br/><br/>Novel quantum materials with exotic electronic and magnetic properties offer a unique opportunity for developing future advanced computing technologies. Two-dimensional (2D) van der Waals (vdW) magnets have emerged as an ideal platform for exploring unique magnetic states and developing functional spintronic devices. Through a collaborative effort between the University of Wyoming and Colorado State University , this research delves into the unconventional magnetic properties of selected 2D vdW magnets. This interdisciplinary team employs both experimental and theoretical approaches, including nanofabrication, magnetotransport measurements, scanning tunneling microscopy, magnetic force microscopy, theoretical modeling, and first-principles calculations. These studies are expected not only to fill critical gaps in our scientific understanding but also to facilitate groundbreaking applications in spintronics-based computing. Furthermore, the project offers substantial research and educational opportunities for underrepresented minorities, first-generation college students, and female students in the fields of condensed matter physics, nanoscience, and nanotechnology. The accompanying graduate training program extends into high school outreach, collaborating with educators to integrate cutting-edge research into existing science curricula.<br/><br/>Technical Abstract:<br/><br/>Controllable magnetization dynamics offers a promising approach for achieving advanced computing using nanomagnetic devices, such as probabilistic bits (p-bits), voltage-controlled magnetic anisotropy, and spin-logic devices in information and communication technology applications. In this collaborative project, the research team focuses on exploring the novel magnetic properties of few-layer two dimensional van der Waals (2D vdW) magnets. The project has three primary objectives: 1) investigate the fundamental roles and behaviors of unconventional magnetic domains of the novel magnetic properties of few-layer 2D vdW magnets, 2) manipulate metastable magnetic phase transitions within these magnetic domains, and 3) uncover the mechanisms underlying magnetic switching in these materials. Various experimental and theoretical approaches are employed, including nanofabrication, magnetotransport, low-temperature magnetic force microscopy, spin-polarized scanning tunneling microscopy, theoretical modeling, and first-principle calculations. This research project expects to revolutionize the design and function of 2D vdW magnets, enabling the development of simple, energy-efficient, atomic-scale 2D vdW p-bits as fundamental components for the next generation of probabilistic computers. Additionally, the project's educational component provides invaluable opportunities for students and early-career researchers, equipping them with crucial knowledge and skills in advanced materials research and technology, thereby preparing them for significant contributions to the evolving field.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/31/2024

07/31/2024

None

Grant

47.049

1

4900

4900

2414749

{'FirstName': 'Hua', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hua Chen', 'EmailAddress': 'hua.chen@colostate.edu', 'NSF_ID': '000762249', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Colorado State University', 'CityName': 'FORT COLLINS', 'ZipCode': '805212807', 'PhoneNumber': '9704916355', 'StreetAddress': '601 S HOWES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'LT9CXX8L19G1', 'ORG_LGL_BUS_NAME': 'COLORADO STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Colorado State University', 'CityName': 'FORT COLLINS', 'StateCode': 'CO', 'ZipCode': '805232002', 'StreetAddress': '601 S HOWES ST, STE 500', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

{'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}

2024~232786

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414749.xml'}

BPE-Track 2: Modernizing Education: Using AI to Improve Students’ Learning and Build Skills for the Future

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '07050000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EEC', 'LongName': 'Div Of Engineering Education and Centers'}}

{'SignBlockName': 'Jesus Soriano Molla', 'PO_EMAI': 'jsoriano@nsf.gov', 'PO_PHON': '7032927795'}

The broader impact of this Broadening Participation for Engineering Track-2 (BPE-Track-2) proposal addresses the critical need to enhance AI competency among K-12 educators in STEM fields. As AI technologies rapidly advance, there is a growing demand to prepare students for an AI-driven future. The project is to transform K-12 education by equipping teachers with the knowledge and skills to incorporate AI into their classrooms. The project ensures that students, particularly those underrepresented in STEM, are prepared for an AI-driven future. By providing comprehensive professional development (PD) for teachers, this project fosters a learning community that supports the development and implementation of AI-effective teaching practices. The project enhances classroom teaching and promotes equity in STEM education. It also contributes to a more diverse, technologically proficient, and AI-informed STEM workforce. The project aligns with the National Science Foundation's mission to promote scientific progress by addressing the growing demand for AI literacy in education. Through the development and dissemination of AI best teaching practices and an innovative AI-focused teacher PD model, this project has the potential to transform high school education on a national scale, aligning with NSF's mission to advance the nation's prosperity and maintains its competitive edge in the global economy.<br/><br/>The proposed project will establish a three-year PD program for high school teachers focused on Generative AI in education. Each year, the program will recruit 10 teachers, prioritizing those serving students underrepresented in STEM fields. The project begins with a pre-survey to assess current AI knowledge, followed by introductory modules on AI history. Teachers will then participate in an intensive one-week summer PD session on AI, which will be supplemented by year-long support throughout the academic year, including monthly collaborative meetings and ongoing content delivery. Teachers will collaborate with the project team to develop and implement AI-informed lesson plans in their STEM classrooms. The program employs a hybrid approach, combining direct instruction with the fostering of a learning community across schools and districts. Key activities include monthly collaborative meetings, callback sessions for feedback, and the creation of online tools for nationwide dissemination. The project's outcomes include a scalable teachers PD model, the creation and implementation of AI-informed lesson plans for use in high school STEM classrooms, and broad dissemination of resources through online platforms. This comprehensive approach aims to cultivate AI competency in education, ultimately preparing the next generation for careers in an AI-driven world.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/06/2024

08/06/2024

None

Grant

47.041

1

4900

4900

2414751

[{'FirstName': 'Ibrahim', 'LastName': 'Zeid', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ibrahim Zeid', 'EmailAddress': 'zeid@coe.neu.edu', 'NSF_ID': '000285622', 'StartDate': '08/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Claire', 'LastName': 'Duggan', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Claire J Duggan', 'EmailAddress': 'c.duggan@neu.edu', 'NSF_ID': '000093378', 'StartDate': '08/06/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '768000', 'Text': 'EDA-Eng Diversity Activities'}

2024~400000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414751.xml'}

CAREER: Multifunctional Soft Neural Probes for Elucidating Spinal Cord Injury Pathophysiology

NSF

11/15/2023

06/30/2028

{'Value': 'Continuing Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Amanda O. Esquivel', 'PO_EMAI': 'aesquive@nsf.gov', 'PO_PHON': '7032920000'}

Spinal cord injury (SCI) is one of the leading causes of paralysis in the US. Over 1.4 million people live with SCI-related disabilities, which leads to lower participation and gives rise to substantial individual and societal costs. Most of the current neurotechnology for the spinal cord system relies on directly injecting electricity into the tissues. However, this type of electrical approach is inadequate to find out which type of cells contributes to injury recovery because electricity affects all the neurons in certain areas without selection. To overcome such limitations, this CAREER project seeks to develop a new soft device technology to study the spinal cord system using light, electricity, drug, and virus gene carriers. The development of this neurotechnology requires knowledge from multiple disciplines. Therefore, this project opens various educational opportunities for students with a broad interest in STEM. The investigator aims to launch an interdisciplinary neuroengineering program across the engineering and neuroscience departments at UMass Amherst. This program will combine research and educational activities through the development of a curriculum inclusively designed for students with disabilities, an interactive online hub, and a series of student-centered neurotechnology-themed outreach activities for K-12 students. <br/><br/>The investigator’s long-term career goal is to establish engineering platform methodologies to investigate the nervous system and ultimately develop therapeutics for nervous system dysfunction. Using the knowledge of materials engineering and neuroscience, the investigator hypothesizes that the development of a new multifunctional soft neural probe technology can advance a holistic understanding of neural pathophysiology in SCI. The research goals will be accomplished through four specific tasks: (1) Developing a new multifunctional soft neural probe technology with polymer engineering approaches. The optical and mechanical properties of hydrogel materials can be fine-tuned by tweaking their underlying nano- and micro-scale structures. Optimizing the material properties of the hydrogel component allows the probe to transmit light to the spinal cord target areas for optical neural modulation and recording, and to adapt to the spinal cord tissue movement in vivo. (2) Testing the multifunctionality and long-term viability of the soft neural probes in vivo. The soft neural probes are designed to allow optical stimulation and photometric recording, electrical recording, drug infusion, and virus delivery within miniaturized devices without constraining natural movement.(3) Investigating spinal locomotor circuits with soft neural probes using a series of locomotor behavioral tests to assess SCI functional recovery. (4) Applying the soft neural probes for genetic and pharmacological interventions to promote functional recovery in SCI mouse models.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/10/2024

01/10/2024

None

Grant

47.041

1

4900

4900

2414753

{'FirstName': 'Siyuan', 'LastName': 'Rao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Siyuan Rao', 'EmailAddress': 'syrao@binghamton.edu', 'NSF_ID': '000855194', 'StartDate': '01/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'ZipCode': '139024400', 'PhoneNumber': '6077776136', 'StreetAddress': '4400 VESTAL PKWY E', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'NQMVAAQUFU53', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}

{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'StateCode': 'NY', 'ZipCode': '139024400', 'StreetAddress': '4400 VESTAL PKWY E', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

[{'Code': '534200', 'Text': 'Disability & Rehab Engineering'}, {'Code': '534500', 'Text': 'Engineering of Biomed Systems'}]

2023~425167

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414753.xml'}

PFI-TT: Developing High-Energy and Long-Duration Primary Batteries based on Co-Advancement in Electrolyte and Cathode Design

NSF

07/15/2024

12/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact of this Partnerships for Innovation - Technology Translation (PFI-TT) project is the development of a high-energy, long-duration primary (non-rechargeable) battery with higher storage capacity than other currently available batteries. Lithium (Li) primary batteries have the highest energy of all batteries, making them indispensable for applications where recharge is nonessential, but a premium is placed on long lifetime and reliability. Lead leading examples of the use of lithium primary batteries including medical implants, defense, and Internet-of Things (IoT) sensors. In those applications, the lifetime of the device is constrained by battery life, and there is high value associated with increasing the gravimetric/volumetric energy to enable new functions, longer-duration operation, and/or smaller/lighter devices for the same delivered energy. Unfortunately, the leading primary battery chemistries were developed several decades ago and have since matured with little/no new competitors entering the market. This team has developed a new primary battery chemistry that could boost the energy density of the current market-leading system by 50%, with good safety characteristics, and little or no increase in cost. The technology will address the unmet needs in the aforementioned industries and enable societal impacts such as improved patient quality of life, enhanced military mission flexibility, and new energy-intensive IoT use cases.<br/><br/>The project is based on the development of a class of energy-dense, safe, and cost-effective catholyte (electrochemically active electrolyte) based on newly developed liquid fluorinated reactants (LFRs). Due to the excellent voltage alignment of LFR with a leading solid cathode material, the catholyte can be readily integrated into the current market-leading primary battery technology and replace the typically inactive electrolyte, substantially reducing the inactive weight of the cell. Such integration yields a hybrid solid-liquid cell design that significantly boosts gravimetric/volumetric energy by 20–30% (to date). Efforts so far have demonstrated significant performance improvements compared to the incumbent technology at low discharge rates over a wide temperature range (25–50 °C), but performances decline under high-rate conditions, especially approaching ambient temperature conditions. To address this hurdle, the objectives of this project are to: (1) advance cathode architecture design and anode stabilization strategies to overcome current performance limitations related to rate and operating temperature; and (2) improve cell design to demonstrate similar gains in practical-scale, high-capacity, pouch cells. This project will also conduct extensive cathode/anode modifications and cell-level structure design; iterative cell testing and co-optimization of cathode/catholyte; and prototype development and testing catering to energy/power needs in target markets.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/02/2024

07/02/2024

None

Grant

47.084

1

4900

4900

2414768

{'FirstName': 'Betar', 'LastName': 'Gallant', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Betar M Gallant', 'EmailAddress': 'bgallant@MIT.EDU', 'NSF_ID': '000704397', 'StartDate': '07/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'E2NYLCDML6V1', 'ORG_LGL_BUS_NAME': 'MASSACHUSETTS INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'E2NYLCDML6V1'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021394301', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~549943

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414768.xml'}

Planning: Mid-Scale Research Infrastructure-1 Community-scale Testbeds to Accelerate Climate Adaptation and Disaster Reduction Research

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Daan Liang', 'PO_EMAI': 'dliang@nsf.gov', 'PO_PHON': '7032922441'}

This grant supports the planning for a new, shared-use, place-based testbed for research on community resilience to climate change and natural hazards. The testbed is a cyber-physical environment representative of community systems and can be used for policy design, model integration, and theory development. Longitudinal and cross-sectional datasets being collected and curated are essential to examining loss, recovery, and mitigation in communities subject to natural hazards. In addition, these datasets form empirical evidence for timely and equitable adaptation solutions to climate change. <br/><br/>Establishing such a testbed fills a critical gap in integration and coordination of multiple longitudinal studies across geographies and hazards. It captures the complexity of real-world sociotechnical drivers and resources constraints. The planning effort focuses on key building blocks of a Mid-scale Research Infrastructure, soliciting feedback on research priorities, enablers for scientific breakthroughs to refine the testbed’s scope and governance structure. A series of workshops, conference sessions, and surveys target both researchers and community users. The project team learns from other research infrastructures and explores synergy with the Natural Hazards Engineering Research Infrastructure (NHERI).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/09/2024

05/09/2024

None

Grant

47.041

1

4900

4900

2414769

[{'FirstName': 'Daniel', 'LastName': 'Cox', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel T Cox', 'EmailAddress': 'dan.cox@oregonstate.edu', 'NSF_ID': '000237880', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jennifer', 'LastName': 'Bridge', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jennifer A Bridge', 'EmailAddress': 'jennifer.bridge@essie.ufl.edu', 'NSF_ID': '000550556', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Elaina', 'LastName': 'Sutley', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elaina J Sutley', 'EmailAddress': 'enjsutley@ku.edu', 'NSF_ID': '000717323', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Sara', 'LastName': 'Hamideh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sara Hamideh', 'EmailAddress': 'sara.hamideh@stonybrook.edu', 'NSF_ID': '000719638', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'ZipCode': '117940001', 'PhoneNumber': '6316329949', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL L', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NY01', 'ORG_UEI_NUM': 'M746VC6XMNH9', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'StateCode': 'NY', 'ZipCode': '117940001', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL LIBRARY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NY01'}

{'Code': '163800', 'Text': 'HDBE-Humans, Disasters, and th'}

2024~100000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414769.xml'}

AGS-FIRP Track 1: Lake-induced Inversion Trapping of Emissions on the Superior Coast (LITESC)

NSF

07/15/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '06020300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Nicholas Anderson', 'PO_EMAI': 'nanderso@nsf.gov', 'PO_PHON': '7032924715'}

The project team will deploy the University of Wisconsin-Madison Space Science and Engineering Center Portable Atmospheric Research Center (SPARC) in L’Anse and Houghton, Michigan from October 1 – 21, 2024 for a Track 1 Facilities for Atmospheric Research and Equipment education and outreach project. The project will focus on observing and understanding the extent to which lake-induced temperature inversions and lake breezes impact the dispersion of locally derived air pollution in L’Anse, Michigan, located on the southern shore of Lake Superior. Undergraduate and graduate students enrolled in atmospheric sciences courses at Michigan Technological University and the University of Wisconsin-Madison will gain field measurement and data analysis experience, and outreach will be conducted to K-12 students and the wider community.<br/><br/>The research objectives of this project are to characterize the atmospheric boundary layers over by measuring (1) vertical profiles of tropospheric temperature and water vapor; (2) wind speed and direction profiles; and (3) mixing height of the boundary layer using. The SPARC will also be used to measure vertical profiles of tropospheric aerosols and their physical properties, and to indicate periods of inversion-based aerosol trapping. The primary observation location for this project, L’Anse, is situated in Keweenaw Bay along the southern shore of Lake Superior, adjacent to the reservation of an Ojibwe tribe, the Keweenaw Bay Indian Community. The L’Anse Warden Electric Company, a wood, paper, plastics, and tire-derived fuel waste-to-energy plant is located in L’Anse. Additionally, community households burn wood for heating in the colder months of the year. Community members have expressed concern that the emissions from the facility and wood burning adversely impact their air quality.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/10/2024

07/10/2024

None

Grant

47.050

1

4900

4900

2414775

[{'FirstName': 'Judith', 'LastName': 'Perlinger', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Judith Perlinger', 'EmailAddress': 'jperl@mtu.edu', 'NSF_ID': '000381689', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Shawn', 'LastName': 'Brueshaber', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shawn Brueshaber', 'EmailAddress': 'srbruesh@mtu.edu', 'NSF_ID': '000986508', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Michigan Technological University', 'CityName': 'HOUGHTON', 'ZipCode': '499311200', 'PhoneNumber': '9064871885', 'StreetAddress': '1400 TOWNSEND DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MI01', 'ORG_UEI_NUM': 'GKMSN3DA6P91', 'ORG_LGL_BUS_NAME': 'MICHIGAN TECHNOLOGICAL UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'GKMSN3DA6P91'}

{'Name': 'Michigan Technological University', 'CityName': 'HOUGHTON', 'StateCode': 'MI', 'ZipCode': '499311200', 'StreetAddress': '1400 TOWNSEND DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MI01'}

{'Code': '152900', 'Text': 'FARE-Facil for Atmos Res & Ed'}

2024~37207

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414775.xml'}

North Carolina Center for Coastal Algae, People, and Environment NC-CAPE

NSF

02/01/2024

01/31/2029

{'Value': 'Continuing Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Henrietta Edmonds', 'PO_EMAI': 'hedmonds@nsf.gov', 'PO_PHON': '7032927427'}

The North Carolina Center for Coastal Algae, People, and Environment (NC C-CAPE) is a five-year effort to advance our scientific knowledge on the risks of harmful algal blooms (HABs) in NC coastal waters, including the United States’ largest lagoonal estuary, the Pamlico-Albemarle Sound System. Concerns about emergent HABs in the region have surged and coincide with reports on toxins present in water and seafood. Major knowledge gaps currently exist on environmental drivers that lead to the development of these blooms and the production of toxins, and associated human health risks. With growing threats to ecosystem and human health, with the increasing frequency, intensity, and range of cyanobacterial blooms, attributable to eutrophication and likely exacerbated by climate change, NC-CAPE will provide data to guide efforts to implement effective monitoring approaches, inform guideline values for safe consumption of water and seafood, deliver predictive tools to assess emergent and future toxin exposure risk, and leverage community engagement initiatives to fill data gaps and improve oceans and human health. NC C-CAPE will provide investigators at all career stages valuable opportunities for collaboration, leadership, cross-training, as well as the foundational support to expand their research programs across disciplinary boundaries. The Center’s Community Engagement Core will use principles of data justice, which is central to understanding and addressing HAB exposure and prevention, to empower community members as experts with the capacity to conduct critical and systemic inquiry into their own lived experiences. The Center is committed to recruiting students, postdocs, and staff from diverse backgrounds including underrepresented groups, and will convene an External Advisory Committee that reflects the diversity of stakeholders. Activities will include the establishment of a data justice charter with community groups and the establishment of a Community Advisory Board to ensure stakeholder involvement in problem definition, design, and data dissemination. The Center is jointly supported by NSF’s Division of Ocean Sciences and by the National Institute for Environmental Health Sciences (NIEHS).<br/><br/>NC C-CAPE combines multidisciplinary expertise in ocean and climate science, toxicology, epidemiology, modeling, and community engagement to understand, predict, and reduce risks to human health from cyanobacterial HABs in coastal waters. The Center comprises three research projects, bound together through the Center Administration and Community Engagement cores. NC C-CAPE will elucidate links among environmental drivers and HAB dynamics, microcystin congener composition, and toxin contamination in oysters and blue crabs (Project 1), define how MC mixtures influence mechanisms of liver toxicity and resulting risk of adverse health outcomes in regulatory-relevant mammalian models as well as at-risk human populations (Project 2), and integrate diverse data sets and coastal circulation modeling within a probabilistic modeling framework to elucidate environmental controls on microcystin distribution in water and seafood and assess exposure risk in a changing climate (Project 3). Finally, the Center’s Community Engagement Core will promote the translation of Center discoveries, use the principles of data justice to elevate community voices in research design, fill gaps in HAB exposure and prevention knowledge relevant to environmental justice, and support critical and systemic inquiry led by community partners.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/30/2024

01/30/2024

None

Grant

47.050

1

4900

4900

2414792

[{'FirstName': 'Astrid', 'LastName': 'Schnetzer', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Astrid Schnetzer', 'EmailAddress': 'aschnet@ncsu.edu', 'NSF_ID': '000486335', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Bethany', 'LastName': 'Cutts', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bethany B Cutts', 'EmailAddress': 'bbcutts@ncsu.edu', 'NSF_ID': '000086754', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Daniel', 'LastName': 'Obenour', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel Obenour', 'EmailAddress': 'drobenour@ncsu.edu', 'NSF_ID': '000696042', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Scott', 'LastName': 'Belcher', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Scott M Belcher', 'EmailAddress': 'smbelch2@ncsu.edu', 'NSF_ID': '000991422', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'ZipCode': '276950001', 'PhoneNumber': '9195152444', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NC02', 'ORG_UEI_NUM': 'U3NVH931QJJ3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NVH931QJJ3'}

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'StateCode': 'NC', 'ZipCode': '276950001', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NC02'}

{'Code': '802800', 'Text': 'Oceans & Human Health'}

2024~781647

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414792.xml'}

Elucidating the Role of Mechanics and Lymphatic Pumping on Lymphovascular Space Invasion Using a Lympho-vascularized Breast-Skin Platform

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Stephanie George', 'PO_EMAI': 'stgeorge@nsf.gov', 'PO_PHON': '7032927825'}

Metastasis is a complex series of cell migration events that involve multiple interactions with other cells, tissues, and blood and lymphatic vessels - causing the mechanisms to be unclear and treatments to be ineffective. Elucidating this complex cascade is impossible with current cell culture-based systems and cost prohibitive with animal models. Multi-tissue on-a-chip platforms (MTCPs) that possess integrated blood and lymphatics within a primary tissue (e.g. breast) and a secondary site (e.g. skin) while also replicating the biomechanical properties of these tissues would have tremendous value for uncovering cell migratory patterns of cancer metastasis, and ultimately impact drug development, personalized medicine, disease etiology, and toxicology. This project’s objective is to create a MTCP Breast-Skin platform with blood and lymphatic vasculature integrated within each tissue and connected seamlessly across tissues. The Breast-Skin platform will be utilized to determine the role of tissue properties, immune cells, and vessel flow dynamics in tumor cell metastasis. This work is a high-risk, high-reward endeavor, providing an invaluable tool for dissecting the metastatic process which will generate functional signaling and therapeutic targets for treatment of a wide array of aggressive and metastatic diseases. The project will enable the PI to provide unique tiered teaching and mentoring opportunities in which graduate and undergraduate students will expand their understanding of microfluidics fabrication and serve as role models for elementary school students through a newly created tissue instructional module for an existing outreach program at The University of Texas at Austin Longhorn Engineering Summer Camp.<br/><br/>Metastatic cancer spread is a highly complex series of events involving multiple tissues, organs, and cellular interactions. Several clinical phenomena have been correlated with metastasis and poor patient outcomes, but their underlying mechanisms remain difficult to determine. Three such phenomena are of interest because of their significant clinical presentations in breast cancer: 1) lymphovascular space invasion (LVSI) – tumor clusters (emboli) within blood and lymphatic vasculature in the primary tumor, 2) dermal lymphatic invasion (DLI) – tumor emboli within the lymphatic vessels of the nearby skin tissue, and 3) skin metastasis. Existing in vitro systems lack the multi-tissue and lymphovascular complexity needed to model these events. In vivo models, while available, are not amenable to mechanistic studies or pharmacological screening because of the sheer number of animals required for such experiments. Therefore, there is a critical need for experimental models that can faithfully capture relevant metastatic phenomena. This need will be addressed by developing a multi-tissue on-a-chip Breast-Skin platform with functional blood and lymphatic vessels that are seamlessly connected to study the spatial and temporal process of LVSI, DLI, and skin metastasis. The central hypothesis is that the cross-talk between the extracellular matrix (ECM), macrophages, and vessel microenvironment provides synergistic cues to drive LVSI and DLI. This hypothesis will be tested in the Breast-Skin platform with the following project objectives: 1) Develop and validate the first Breast-Skin in vitro platform for modeling LVSI and DLI in breast cancer, 2) Determine the role of ECM features and macrophages in LVSI and DLI formation, and 3) Define the contribution of vessel fluid dynamics to LVSI and DLI formation. The project represents a significant breakthrough in the development of a unique Breast-Skin platform to study the spatial and temporal process of LVSI, DLI, and skin metastasis for the first time in a high-throughput and controllable manner.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/01/2024

08/01/2024

None

Grant

47.041

1

4900

4900

2414793

{'FirstName': 'Marissa', 'LastName': 'Rylander', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marissa N Rylander', 'EmailAddress': 'mnr@austin.utexas.edu', 'NSF_ID': '000405483', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'ZipCode': '787121139', 'PhoneNumber': '5124716424', 'StreetAddress': '110 INNER CAMPUS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'V6AFQPN18437', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT AUSTIN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'StateCode': 'TX', 'ZipCode': '787121139', 'StreetAddress': '110 INNER CAMPUS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'TX25'}

{'Code': '534500', 'Text': 'Engineering of Biomed Systems'}

2024~429114

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414793.xml'}

Scripps Center for Oceans and Human Health: advancing the science of marine contaminants and seafood security

NSF

03/01/2024

02/28/2029

{'Value': 'Continuing Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Henrietta Edmonds', 'PO_EMAI': 'hedmonds@nsf.gov', 'PO_PHON': '7032927427'}

The Scripps Center for Oceans and Human Health (SCOHH) is a five-year effort to advance the science and community engagement surrounding seafood pollutants, on a rapidly changing planet. The project brings together a multidisciplinary team of biomedical and oceanographic researchers with expertise in fish ecology, microbiology, marine chemistry, climate modeling, technology development, bioaccumulation, genomics, toxicology, and public health. The Center’s scientific goals and focus are guided by the needs of society, established through bidirectional community engagement, and led by a proven community engagement team. The proposed research program of SCOHH spans four main areas:&lt;br/&gt;&lt;br/&gt;1. Climate change impacts on the human intake of seafood micronutrients and contaminants. &lt;br/&gt;2. The marine microbiome as a source for the synthesis, transformation, and distribution of seafood contaminants. &lt;br/&gt;3. Mechanisms of bioaccumulation and developmental toxicity of seafood pollutants. &lt;br/&gt;4. Bidirectional public engagement and literacy surrounding seafood risks and benefits.&lt;br/&gt;&lt;br/&gt;The outcomes of the SCOHH will inform policies, consumption guidelines, and individual decisions to lower risk and enhance greater benefits associated with seafood consumption. Internally, SCOHH will take deliberate measures to enhance equity, diversity, and inclusion in all aspects of its functioning, from the investigator team and graduate student/postdoctoral trainees to engagement with community partners. The Center is jointly supported by NSF’s Division of Ocean Sciences and by the National Institute for Environmental Health Sciences (NIEHS).&lt;br/&gt;&lt;br/&gt;The central scientific theme of SCOHH is to advance knowledge of marine contaminants and seafood security. Natural and anthropogenic contaminants such as mercury, DDT, and PCBs drive seafood consumption advisories. Yet understanding of their sources, microbial transformations, toxicity, and potential for climate driven change remain incomplete. The SCOHH team will study and track the distribution of essential micronutrients and harmful contaminants in marine food webs to the three billion people who consume seafood globally, the roles that the marine microbiome play in their production and transport, and the developmental toxicity of seafood pollutants and their interactions with transporters that determine uptake and bioaccumulation.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/30/2024

01/30/2024

None

Grant

47.050

1

4900

4900

2414798

[{'FirstName': 'Amro', 'LastName': 'Hamdoun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amro Hamdoun', 'EmailAddress': 'hamdoun@ucsd.edu', 'NSF_ID': '000634903', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Bradley', 'LastName': 'Moore', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bradley S Moore', 'EmailAddress': 'bsmoore@ucsd.edu', 'NSF_ID': '000069367', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of California-San Diego Scripps Inst of Oceanography', 'CityName': 'LA JOLLA', 'ZipCode': '920931500', 'PhoneNumber': '8585341293', 'StreetAddress': '8622 DISCOVERY WAY # 116', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'QJ8HMDK7MRM3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA SAN DIEGO', 'ORG_PRNT_UEI_NUM': 'QJ8HMDK7MRM3'}

{'Name': 'University of California-San Diego Scripps Inst of Oceanography', 'CityName': 'LA JOLLA', 'StateCode': 'CA', 'ZipCode': '920931500', 'StreetAddress': '8622 DISCOVERY WAY RM 116', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '8028', 'Text': 'Oceans & Human Health'}

2024~867984

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414798.xml'}

RAPID: A Cost-Effective Approach for Characterizing Variability at High Temporal Resolution for Long Duration on the Continental Slope of the Southern Mid-Atlantic Bight

NSF

02/01/2024

01/31/2025

{'Value': 'Standard Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Baris Uz', 'PO_EMAI': 'bmuz@nsf.gov', 'PO_PHON': '7032924557'}

This RAPID project is to deploy instrumentation to study the behavior of the Gulf Stream at the region where it detaches from the continental margin. Instrument deployments will be leveraged by ongoing activities in the area, as part of the Ocean Observatories Initiative's Pioneer array, near the shelf break north of Cape Hatteras. Likewise, these deployments will provide complementary information to that obtained from the Pioneer array. The RAPID project will involve students at different stages in college and graduate school.&lt;br/&gt;&lt;br/&gt;This one-year RAPID grant is to deploy two inverted echo sounders (CPIEs, with current meters and pressure sensors) over the continental slope north of Cape Hatteras, where the Gulf Stream separates from the continental margin. Instruments will be installed at depths of 1000 m during a period of 4 years. Deployments will take place in June 2024 with ships of opportunity and adjacent to the new location of the Coastal Pioneer Array. Data will be sent to shore via satellite link and shared via a Zenodo repository. Information from these deployments will complement continental shelf data from the Pioneer array, and will be used to study multi-scale (in time) processes associated with Gulf Stream separation from the continental margin. As Broader Impacts, the CPIEs measurements will help in quantification of exchange processes between the shelf and the open ocean. The project will include two undergraduate and two graduate students.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/25/2024

01/25/2024

None

Grant

47.050

1

4900

4900

2414853

{'FirstName': 'Magdalena', 'LastName': 'Andres', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Magdalena Andres', 'EmailAddress': 'mandres@whoi.edu', 'NSF_ID': '000558227', 'StartDate': '01/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'ZipCode': '025431535', 'PhoneNumber': '5082893542', 'StreetAddress': '266 WOODS HOLE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'GFKFBWG2TV98', 'ORG_LGL_BUS_NAME': 'WOODS HOLE OCEANOGRAPHIC INSTITUTION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431535', 'StreetAddress': '266 WOODS HOLE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}

{'Code': '1610', 'Text': 'PHYSICAL OCEANOGRAPHY'}

2024~195725

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414853.xml'}

PFI-TT: Development of Electric Motors that Create Magnetic Forces to Eliminate Bearings

NSF

07/15/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact of this Partnerships for Innovation – Technology Translation (PFI-TT) project is to transform the reliability, lifetime, efficiency, and overall utility of electric motors and generators. Motors are everywhere across our societal infrastructure — from transportation and logistics to medical and manufacturing. Uptime, reliability, and energy efficiency are critical concerns. The bearings used in today’s motors limit the performance of the systems and the deployment of more energy efficient technologies. It is estimated that up to 75% of all motor failures are due to bearings. Concerns about further exacerbating bearing lifetime issues often limit the use of variable speed motor drives. Additionally, current bearing lubrication processes pose contamination hazards for many systems. Decarbonization and electrification efforts have elevated these concerns across many industries, leading to product development of oil-free and contact-free bearings, such as magnetic and gas bearings. However, the commercial success of these products has been limited by cost and/or low performance. This PFI project provides a cost-effective solution by using electromagnetism within the electric motor to create shaft forces. The project initially targets industrial compressor systems but promises to revolutionize the entire motor industry. Successful adaptation will enable a 9% reduction in U.S. electric energy consumption.<br/><br/>The project addresses challenges that must be overcome to realize cost-effective, oil-free machinery through the use of force-capable electric motors. This technology will be demonstrated at a power scale necessary to justify commercial development. To achieve these objectives, the research plan targets (1) scaling design aspects and assumptions of bearingless motors to the high-power levels required of industrial compressors and (2) creating a low-cost, bolt-on set of electronics that can transform a standard electric motor system into a system that will be capable of creating and controlling shaft forces. A key challenge limiting commercialization of this technology is that all available test data has been conducted at low power levels with inadequate energy efficiency for the markets in greatest need of this technology. The project will leverage recent research advancements in combined winding design and control techniques to improve efficiency and enable the use of standard motor system components. The project will use a professional-grade dynamometer to measure the torque-speed-efficiency characteristics of a 100 kW bearingless motor system composed of a standard motor drive, standard motor with a custom winding, and newly developed control electronics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/02/2024

07/02/2024

None

Grant

47.084

1

4900

4900

2414861

{'FirstName': 'Eric', 'LastName': 'Severson', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric L Severson', 'EmailAddress': 'sever@umn.edu', 'NSF_ID': '000760020', 'StartDate': '07/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Minnesota', 'CityName': 'Minneapolis', 'StateCode': 'MN', 'ZipCode': '554552070', 'StreetAddress': '111 Church Street SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~550000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414861.xml'}

SBIR Phase I: Domestication of Western Lupine - Manzanita Cooperative

NSF

07/01/2024

02/28/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Ela Mirowski', 'PO_EMAI': 'emirowsk@nsf.gov', 'PO_PHON': '7032922936'}

The broader/commercial impact of this Small Business Innovation Research Phase I project lies in generating a novel sustainable, climate-resilient food source through development of lupine hybrids. By focusing on US-native, drought-tolerant lupines, this project will introduce alternative high-protein, low-water, native-derived options to traditional protein crops’ ecological footprint. This project will enhance food security while increasing productivity from marginal lands with native crops’ reduced input needs- aligning with NSF priorities toward ecological and public health stewardship. Project outcomes will provide more sustainable options for farmers than traditional commodity crops- without sacrificing land profitability. By introducing a protein-rich, low-water-use alternative crop, the project will promote consumers’ access to nutritional density. As demand for plant-based protein grows, commercialization of these cultivars could position them toward the lead of a burgeoning plant protein market. This will support one FT position and one researcher to screen hybrids for desired traits to enable Phase II hybrid selection and patent protection. Upon Phase II completion, the project will move toward commercialization. Following this, at least 3 FT and 3 PT employees in R/D, Product Manager, Business Development and other roles will be filled to support projected growth.<br/><br/>This project proposes rapid domestication and commercialization of novel, native-derived lupines to address the need for sustainable, climate-resilient crop protein sources. This initiative focuses on development of heterozygous F1 lupine hybrids, incorporating the pauper allele from the 'Amiga' cultivar of European White lupine (EWL, Lupinus albus) into four drought-tolerant, US-native species (Lupinus arizonicus, Lupinus stiversii, Lupinus succulentus, Lupinus arbustus). This allele confers reduced alkaloid content, enhancing lupines’ palatability without sacrificing the drought and disease resistance of native lupines. Phase I of the project will generate these hybrids through genetic marker-accelerated introgression of the pauper allele while overcoming challenges, including potentially reduced fertility from aneuploidy among US-native and EWL parents. The project’s comprehensive approach includes PCR-based genetic analysis to confirm presence of the pauper allele, alkaloid profiling to ensure the trait's expression in various tissues, and evaluation of growth and yield. Intellectual property protection is a cornerstone of our strategy, ensuring novel cultivars' commercial viability while maintaining control over the seed-to-consumer cycle to safeguard company innovations. Resulting crops will bolster modern agricultural resilience with a focus on sustainability, reduced crop inputs, and improved nutritional value, aligning with our aim to utilize native biodiversity for food security.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/14/2024

06/14/2024

None

Grant

47.084

1

4900

4900

2414864

{'FirstName': 'Christopher', 'LastName': 'Hendrickson', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher A Hendrickson', 'EmailAddress': 'chris@manzanitabionatives.com', 'NSF_ID': '000978322', 'StartDate': '06/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'MANZANITA COOPERATIVE, INC.', 'CityName': 'MENDOCINO', 'ZipCode': '954609758', 'PhoneNumber': '5103931783', 'StreetAddress': '44280 GORDON LN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CA02', 'ORG_UEI_NUM': 'FQJQBE28EVJ2', 'ORG_LGL_BUS_NAME': 'MANZANITA COOPERATIVE, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'MANZANITA COOPERATIVE, INC.', 'CityName': 'MENDOCINO', 'StateCode': 'CA', 'ZipCode': '954609758', 'StreetAddress': '44280 GORDON LN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CA02'}

{'Code': '537100', 'Text': 'SBIR Phase I'}

2024~254903

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414864.xml'}

PFI-TT: Non-invasive Multiplex Blood Test for Early Detection of Preeclampsia

NSF

08/15/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact of this Partnerships for Innovation - Technology Translation (PFI-TT) project includes three key aspects: (1) Societal Benefits: By enhancing the early and accurate prediction of preeclampsia - a pregnancy complication characterized by high blood pressure and signs of damage to other organs - this project aims to significantly reduce its prevalence and severity; (2) Commercial Potential: By filling a critical gap in prenatal care with its capability for early preeclampsia detection, this test is poised for commercial success; and (3) Educational Impact: The project will provide comprehensive research and commercialization training to Bioengineering predoctoral and postdoctoral researchers. Given the critical need and currently limited options, the test is well-positioned to become a routine screening tool for high-risk pregnancies, and potentially, for all pregnancies during the first prenatal visit. Improved predictive capabilities are expected to enhance maternal health outcomes, with the potential to save tens of thousands of lives annually. This solution could capture a significant market share of the expanding field of prenatal screening. The team will serve as technical mentors for the institutional Biomedical Regulatory Affairs Graduate Program and community-based Science, Technology, Engineering and Mathematics (STEM) enrichment programs focused on students in K-14 education. <br/><br/>The project aims to advance the detection of vascular dysfunction, particularly preeclampsia, by optimizing a blood test that targets disease-inducing signaling proteins on the surface of vascular cells. A major hurdle in utilizing signaling proteins as diagnostic biomarkers is the typical requirement for invasive tissue biopsies, a procedure that is particularly impractical for screening preeclampsia during pregnancy. The project will use circulating vascular cells as proxies to profile the vascular biomarkers. Building on the established single-plexing antibody-based method, which can successfully distinguish vascular biomarker distributions in premenopausal versus postmenopausal females, the team seeks to advance this approach for broader clinical use. The current single-plexing antibody-based method lacks efficiency and cost-effectiveness for clinical translation. To address these limitations, multiplexing, shelf-stable, cost-effective probes that enhance commercialization potential will be developed. The research will unfold in two phases: first, developing multiplexing probes capable of precisely quantifying two or more cell-surface protein biomarkers, creating an effective, economical, and non-invasive tool. Second, validating the accuracy and specificity of the test in a clinical setting, beginning with patients already diagnosed with preeclampsia. This validation is essential for progressing toward a prospective study aimed at early-stage prediction of preeclampsia, crucial for timely and effective interventions.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/06/2024

08/06/2024

None

Grant

47.084

1

4900

4900

2414865

{'FirstName': 'Princess', 'LastName': 'Imoukhuede', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Princess Imoukhuede', 'EmailAddress': 'pii@uw.edu', 'NSF_ID': '000606198', 'StartDate': '08/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'StateCode': 'WA', 'ZipCode': '981955061', 'StreetAddress': 'UW South Lake Union', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~550000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414865.xml'}

I-Corps: Translation Potential of an Electronic Medical Device to Automate and Calculate Infant Growth Metrics

NSF

05/01/2024

10/31/2024

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is based on the development of a medical device in the form of a smart scale that measures the growth of babies over time. Current growth screening methods are inefficient, because they require pediatricians to take three separate measurements, plot those measurements on four growth curves (height, weight, head circumference, and weight/ length) and interpret the meaning of those measurements over time. The potential advantages of this medical device include early identification of growth concerns, standardization of measurement taking and interpretation across medical providers, and the prevention of late diagnoses of treatable growth disorders. The standardized data collection related to growth rate could also help develop metrics and diagnostics connecting patterns of growth and how changes in growth rate could be indicators of disease. Overall, the broad applicability this device has the potential to improve early detection of infant disease and take preventive action.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a novel medical device in the form of an infant smart scale that includes an electronic, head-measuring circumference band and limb-length measurement tool. This innovative approach integrates a physical length measuring mat, sophisticated electronic measuring system, and an evidence-based algorithm to assess growth metrics over time. This device provides an instant, clinically relevant, and evidence-based growth screening report that can be automatically integrated into the electronic health record (EHR). The purpose of this medical device is to simplify how pediatricians identify, triage, and risk-stratify patients based on their growth trajectories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/22/2024

04/22/2024

None

Grant

47.084

1

4900

4900

2414868

{'FirstName': 'Natasha', 'LastName': 'Shur', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Natasha Shur', 'EmailAddress': 'nshur2@childrensnational.org', 'NSF_ID': '000990787', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': "Children's Research Institute", 'CityName': 'WASHINGTON', 'ZipCode': '200102916', 'PhoneNumber': '3015658483', 'StreetAddress': '111 MICHIGAN AVE NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'M3KHEEYRM1S6', 'ORG_LGL_BUS_NAME': "CHILDREN'S RESEARCH INSTITUTE", 'ORG_PRNT_UEI_NUM': 'M3KHEEYRM1S6'}

{'Name': "Children's Research Institute", 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200102916', 'StreetAddress': '111 MICHIGAN AVE NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414868.xml'}

Woods Hole Oceanographic Institution / R/V Armstrong SSSE - 2024

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '06040100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'George Voulgaris', 'PO_EMAI': 'gvoulgar@nsf.gov', 'PO_PHON': '7032927399'}

A request is made to fund Shipboard Scientific Support Equipment (SSSE) for R/V Atlantis a 274’ multidisciplinary vessel that supports all Deep Submersible Vehicle (DSV) Alvin operations, and R/V Armstrong, a 238’ multidisciplinary vessel. The vessels are operated by Woods Hole Oceanographic Institution (WHOI) as part of the U.S. Academic Research Fleet (ARF) which is scheduled by the University-National Oceanographic Laboratory System (UNOLS). The vessels are owned by the U.S. Navy and support all disciplines of oceanographic research globally, supporting science funded primarily by U.S. government agencies. Funding provided would be used to upgrade the R/V Armstrong highly degraded particle board benchtops currently in use to chemical-resistant laminate and stainless-steel sink and bench. Two electro-optical slip rings will also be provided to support Alvin or Jason operations with a spare for the R/V Atlantis and a new slip ring for the R/V Armstrong. The purchase and installation of an acoustic monitoring system on R/V Atlantis would allow monitoring for acoustic noise around the gondola; it would greatly enhance the quality control for the science transducers and improve acoustic communications with DSV Alvin.<br/><br/>The principal impact of the present proposal is under Merit Review Criterion 2 of the Proposal Guidelines (NSF 23-525). It provides infrastructure support for scientists to use the vessel and its shared-use instrumentation in support of their NSF-funded oceanographic research projects (which individually undergo separate review by the relevant research program of NSF). The acquisition, maintenance and operation of shared-use instrumentation allows NSF-funded researchers from any US university or other organization access to well-maintained, high-quality, calibrated instruments for their research. It ensures the collection of high-quality oceanographic data in support of science, reduces the cost of that research, and expands the base of potential researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/02/2024

08/02/2024

None

Grant

47.050

1

4900

4900

2414875

{'FirstName': 'Sarah', 'LastName': 'Fuller', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarah Fuller', 'EmailAddress': 'sfuller@whoi.edu', 'NSF_ID': '000870864', 'StartDate': '08/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'ZipCode': '025431535', 'PhoneNumber': '5082893542', 'StreetAddress': '266 WOODS HOLE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'GFKFBWG2TV98', 'ORG_LGL_BUS_NAME': 'WOODS HOLE OCEANOGRAPHIC INSTITUTION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431535', 'StreetAddress': '266 WOODS HOLE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}

{'Code': '541600', 'Text': 'SHIPBOARD SCIENTIFIC SUPP EQUI'}

2024~115664

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414875.xml'}

Woods Hole Oceanographic Institution / R/V Armstrong, R/V Atlantis: Oceanographic Instrumentation

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '06040100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'George Voulgaris', 'PO_EMAI': 'gvoulgar@nsf.gov', 'PO_PHON': '7032927399'}

This Oceanographic Instrumentation (OI) at Woods Hole Oceanographic Institution (WHOI) supports the operation of R/V Atlantis, a 274’ multidisciplinary vessel that supports all DSV Alvin operations, and R/V Armstrong, a 238’ multidisciplinary vessel, as well as other sea-going use. The vessels are operated by WHOI as part of the U.S. Academic Research Fleet which is scheduled by the University-National Oceanographic Laboratory System (UNOLS). The vessels are owned by the U.S. Navy and support all disciplines of oceanographic research globally, supporting science funded primarily by U.S government agencies. This request will replace the cracked windows on the ADCP mounts on the R/V Armstrong with a full set of new Zelux W windows and provide a spare set for future replacement in the event of further damage. It will acquire a Through Hull Sound Velocity Sensor and a spare for the currently installed sound velocity sensor. Data provided by these sensors are needed for quality multibeam and EK80 sonar acoustic data and the current sensor installed on the R/V Armstrong is subject to entanglement and damage from marine debris. A new McLane large volume pump will be added to the WHOI-maintained fleet pump pool as an important that shared-use instrumentation resource allows any NSF-funded researchers access to working instruments for their research. The current pool was recently reduced by the loss of several pumps and this acquisition will allow them to rebuild that resource. Purchase four Model 6000 High Power Pingers from Benthos as a batch purchase to keep supplies available within the fleet. Pingers are a valuable resource and future ability to acquire pingers is in question, so this batch purchase to allows the manufacturer (Ocean Instruments) to produce enough to provide to WHOI and offer to the oceanographic research community. The final request will provide a ship-owned deck box to communicate with acoustic releases on science instrumentation to provide a spare for scientists. The deck boxes often malfunction or have configuration issues, and the provision of a spare deck-box reduces the significant risk of losing a day or more of ship time or loss of oceanographic instruments due to a single-point failure of this critical piece of equipment.<br/><br/>The principal impact of the present proposal is under Merit Review Criterion 2 of the Proposal Guidelines (NSF 23-525). It provides infrastructure support for scientists to use the vessel and its shared-use instrumentation in support of their NSF-funded oceanographic research projects (which individually undergo separate review by the relevant research program of NSF). The acquisition, maintenance and operation of shared-use instrumentation allows NSF-funded researchers from any US university or other organization access to well-maintained, high quality, calibrated instruments for their research. It ensures collection of high-quality oceanographic data in support of science, reduces the cost of that research, and expands the base of potential researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/02/2024

08/02/2024

None

Grant

47.050

1

4900

4900

2414876

{'FirstName': 'Sarah', 'LastName': 'Fuller', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarah Fuller', 'EmailAddress': 'sfuller@whoi.edu', 'NSF_ID': '000870864', 'StartDate': '08/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'ZipCode': '025431535', 'PhoneNumber': '5082893542', 'StreetAddress': '266 WOODS HOLE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'GFKFBWG2TV98', 'ORG_LGL_BUS_NAME': 'WOODS HOLE OCEANOGRAPHIC INSTITUTION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431535', 'StreetAddress': '266 WOODS HOLE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}

{'Code': '541300', 'Text': 'OCEANOGRAPHIC INSTRUMENTATION'}

2024~125327

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414876.xml'}

SBIR Phase I: Development and Validation of a Novel Parkinson's Disease Drug Discovery Platform Using Patient-Derived Midbrain Organoids

NSF

07/15/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Erik Pierstorff', 'PO_EMAI': 'epiersto@nsf.gov', 'PO_PHON': '7032922165'}

The broader impact of this Small Business Innovation Research (SBIR) Phase I project spans several fronts, starting with advancements in public health and welfare. The project goal is to reduce risks in clinical translation and expedite the development of crucial therapies for Parkinson's disease. Additionally, the highly scalable nature of the proposed platform offers the long-term potential to extend its application to other complex brain disorders and therapeutic domains. The platform will guide therapeutic candidate discovery, stratify patient selection and refine clinical trial endpoints. Beyond health, the project impact extends to the economic competitiveness of the US. For example, by providing therapies that can help address the challenges people with neurological disorders face in the workforce, the developed product will contribute to operational efficiency, reduce healthcare costs, and boost workforce productivity. The commitment to accelerating therapeutic development also fuels innovation, attracting investments and creating high-value jobs, solidifying the US as a global leader in healthcare innovation. Furthermore, the project team actively promotes partnerships between patient foundations, academia, and drug developers in the biopharma industry.<br/><br/>The proposed project addresses the urgent need for effective disease-modifying therapies for Parkinson's disease. There are no approved disease-modifying therapies for Parkinson's disease due to challenges, including the lack of reliable animal models that accurately predict human efficacy, and a poor understanding of the genetic, environmental and lifestyle factors contributing to dopamine neuron degeneration. To overcome these hurdles, an all-in-human Parkinson's disease drug discovery platform will be developed. This approach utilizes familial Parkinson's disease patient-derived midbrain organoid disease models, biomarker-based screening endpoints, and advanced data analytics to identify disease-modifying therapeutics that halt, prevent, or reverse dopamine neuron degeneration. This platform is positioned as a game-changer in the discovery of impactful Parkinson's disease treatments. The core innovations of the approach include patient-derived stem cells capturing human disease biology at the earliest drug development stages, human-first drug discovery reducing reliance on animal models, scalability and reproducibility of organoid production, robust and reproducible quantification of disease-specific phenotypes, and screening compatible with various therapeutic modalities. The focus on genetically validated targets and converging pathways in sporadic Parkinson's disease aims to de-risk clinical translation, reduce costs, and accelerate the discovery of transformative Parkinson's disease therapies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/09/2024

07/09/2024

None

Grant

47.084

1

4900

4900

2414877

{'FirstName': 'Robert', 'LastName': 'Fremeau', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': 'Jr', 'PI_FULL_NAME': 'Robert T Fremeau', 'EmailAddress': 'robert.fremeau@brainstormtherapeutics.org', 'NSF_ID': '000940229', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'BRAINSTORM THERAPEUTICS, INC.', 'CityName': 'SAN DIEGO', 'ZipCode': '921225656', 'PhoneNumber': '8185844788', 'StreetAddress': '5370 TOSCANA WAY H208', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'F7BRLHC4LJK8', 'ORG_LGL_BUS_NAME': 'BRAINSTORM THERAPEUTICS, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'BRAINSTORM THERAPEUTICS, INC.', 'CityName': 'SAN DIEGO', 'StateCode': 'CA', 'ZipCode': '921225656', 'StreetAddress': '5370 TOSCANA WAY H208', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '537100', 'Text': 'SBIR Phase I'}

2024~275000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414877.xml'}

Formation and function of the periderm

NSF

07/01/2024

06/30/2028

{'Value': 'Continuing Grant'}

{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Anna Allen', 'PO_EMAI': 'akallen@nsf.gov', 'PO_PHON': '7032928011'}

The skin is the largest organ in the body and the skin barrier – provided by the epidermis – is critical for life of all vertebrates. Physically, the skin protects from external threats including infectious agents and prevents from excessive loss of water from the body. This barrier function is first provided during embryonic development by a transient protective layer called the periderm. Although the genesis and loss of the periderm are the first and last steps in the development of the epidermis, the precise role of this transient embryonic layer remain mysterious. To improve the dissemination of knowledge about embryology and epidermal barrier, there is a need to understand how the periderm is formed, what it does, and a need to teach about it in the classroom. This project will use advanced microscopy to get detailed information about the structure of the periderm. This study will engage scientific illustrators to depict the genesis and loss of the periderm in a public-accessible manner and promote its inclusion in textbooks. It will also involve high school students in observing developing skin under the microscope and teach them about the periderm. Students will sketch and annotate specimens seen under the microscope and create an artistic rendering of the same specimen, both of which will be exhibited for public viewing. The work train students from high school through graduate levels in original scientific research.<br/><br/>To understand how the periderm contributes to epidermal fate and function, this project will utilize a mouse model system, the Irf6-deficient embryo. Interferon Regulatory Factor 6 (IRF6) has long been described as a master regulator of terminal epidermal differentiation. While analyzing Irf6-deficient embryos, it was observed the presence of adhesion-associated defects in the formation of the palate and the limbs, as well as differentiation-associated defects in the morphogenesis of epithelial cells in the epidermis (i.e., keratinocytes). These mutant embryos also exhibited significant thickening of the embryonic epidermis, with aberrant periderm differentiation and striking expansion of the suprabasal (i.e., spinous) compartment and lack of the uppermost epidermal layers (granular and cornified). These defects are associated with taut skin and a leaky epidermis, features that are incompatible with life. Together these data support the central hypothesis that peridermal cells are required for terminal differentiation of the epidermis, and that their development and fate are regulated by the transcription factor IRF6. The proposed study will test this hypothesis, utilizing a combination of classic ultrastructural microscopy, state-of-the art microscopy, quantitative image analysis, murine genetics (using specific alleles), and systematic experimental approaches.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.074

1

4900

4900

2414883

{'FirstName': 'Martine', 'LastName': 'Dunnwald', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Martine Dunnwald', 'EmailAddress': 'martine-dunnwald@uiowa.edu', 'NSF_ID': '000978532', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Iowa', 'CityName': 'IOWA CITY', 'ZipCode': '522421316', 'PhoneNumber': '3193352123', 'StreetAddress': '105 JESSUP HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IA01', 'ORG_UEI_NUM': 'Z1H9VJS8NG16', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF IOWA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Iowa', 'CityName': 'IOWA CITY', 'StateCode': 'IA', 'ZipCode': '522421316', 'StreetAddress': '105 JESSUP HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Iowa', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IA01'}

{'Code': '111900', 'Text': 'Animal Developmental Mechanism'}

2024~700000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414883.xml'}

Understanding Mineral Dissolution in Porous Media Coupled With Single- and Multi-phase Flows: A Coordinated Experimental and Numerical Study

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Karl Rockne', 'PO_EMAI': 'krockne@nsf.gov', 'PO_PHON': '7032927293'}

The increasing buildup of carbon dioxide (CO2) in the atmosphere contributes to a wide range of environmental, social, and economic problems. One viable way to mitigate CO2 emission is through an operation called carbon capture and sequestration (CCS). In CCS, CO2 is captured from power plants, and injected into underground saline aquifers. However, injection of CO2 into geologic formations leads to dissolution of minerals due to the acidic nature of CO2, which can create leakage pathways and threaten the safety and security of CO2 storage. Therefore, an accurate knowledge of mineral dissolution in saline aquifers is needed to design effective, safe, and efficient CCS operations. The goal of this project is to bridge this knowledge gap through coordinated lab experiments and numerical simulations. Innovative fabrication, flow visualization, and simulation techniques will be combined to understand the chemical and physical processes that drive rock dissolution. More broadly, successful completion of this research can also benefit studies on agriculture, soil formation, and underground cave geology, as similar processes occur in these systems. Further benefits to society will result from diversifying the STEM workforce through training and education of female and Native American students, creating YouTube contents as educational materials for the public, and supporting two major campus-wide outreach events including the Earth and Science Explore Camp and Montana State Family Science Night.<br/><br/>Reactive dissolution of minerals in porous media is pervasive in natural and engineered systems. The greatest challenge to understanding these porous media systems is that dissolution rates measured in the lab are typically orders of magnitude higher than those observed in the field, referred to as the “lab–field discrepancy”. This mismatch not only poses strong challenges in developing accurate predictive models, but also highlights a lack of fundamental knowledge of mineral dissolution. It has been hypothesized the lab-field discrepancy is primarily due to concentration gradients resulting from incomplete mixing within individual pores that are in turn subject to heterogeneous flow fields at the microscopic scale. Unfortunately, little data or understanding is available on the pore-scale processes that occur during mineral dissolution because of the difficulty in directly measuring flow dynamics and transport at the pore level. The goal of the proposed research is to achieve a transformative understanding of pore-scale transport and chemical reaction in porous media to reconcile the long-standing “lab-field discrepancy.” Successful resolution of this problem will pave the way for more accurate macroscopic predictions. This will be achieved through a coordinated experimental and simulation framework employing microfluidic micromodels and the lattice Boltzmann method. The micromodels will be fabricated in naturally occurring calcite, which enables the precise construction of porous media closely representing real geological systems. Dissolution will be induced by injection of hydrochloric acid at various concentrations and flow rates to simulate realistic CCS operations. Interactions between pore-scale flow and mineral dissolution will be directly quantified, providing valuable insight into the underlying physics to facilitate proper upscaling.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/06/2024

08/06/2024

None

Grant

47.041

1

4900

4900

2414887

{'FirstName': 'Yaofa', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yaofa Li', 'EmailAddress': 'yaofa.li@montana.edu', 'NSF_ID': '000829047', 'StartDate': '08/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Montana State University', 'CityName': 'BOZEMAN', 'ZipCode': '59717', 'PhoneNumber': '4069942381', 'StreetAddress': '216 MONTANA HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Montana', 'StateCode': 'MT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MT01', 'ORG_UEI_NUM': 'EJ3UF7TK8RT5', 'ORG_LGL_BUS_NAME': 'MONTANA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Montana State University', 'CityName': 'BOZEMAN', 'StateCode': 'MT', 'ZipCode': '59717', 'StreetAddress': '216 MONTANA HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Montana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MT01'}

{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}

2024~403966

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414887.xml'}

Multi-species interactions on coral reefs: Linking macro-organismal metabolites to reef processes

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Jayne Gardiner', 'PO_EMAI': 'jgardine@nsf.gov', 'PO_PHON': '7032924828'}

Chemical interactions between coral reef organisms contribute to the success and biodiversity of economically important coral reef ecosystems. Coral reefs are in crisis worldwide from anthropogenic disturbances and climate change, and understanding of these chemical interactions is important to assess ecosystem health. This project is advancing understanding of chemically based, contact-free interactions between benthic organisms (corals, macroalgae, encrusting algae) on coral reefs located within the U.S. territory of the Virgin Islands and producing new knowledge to help inform coral reef conservation and restoration practices. The knowledge gained is being broadly shared by engaging diverse audiences in appropriate formats, including graduate student education, training of undergraduate students and postbaccalaureates, and outreach to middle and high school students from underrepresented groups. Project findings are being shared through open access manuscripts and publicly accessible press releases and social media posts.<br/><br/>Contact-free chemical interactions between organisms may be a key factor contributing to the success and biodiversity of oligotrophic coral reef ecosystems. Benthic macro-organisms release dissolved organic matter (DOM), comprised of biogenic small molecules (exometabolites), into the water which contribute to the growth of microorganisms and provide settlement and other cues for corals, fish and other organisms. While there is some evidence for these interactions, methodologies to detect and quantify reef extracellular chemicals have largely missed detection of the small, polar molecules which form the majority component of labile DOM that may be critical to reef processes. A new approach was recently developed for marine and now coral reef environments, which opens up opportunities to further understand organismal interactions involving small, polar metabolites on reefs. The project team is addressing this lack of knowledge about labile DOM-mediated interactions on coral reefs by 1) examining if and how macro-organismal species assemblages, representing typical Caribbean reef assemblages from historical (stony coral and crustose coralline algae dominated) and present day (octocoral, macroalgae and invasive crustose algae dominated) reefs collectively contribute to the composition of reef metabolites; 2) examining the use of these metabolite pools by reef planktonic and surface-associated microorganisms and settling coral larvae by measuring dissolved metabolite exudates (including polar labile compounds) produced naturally in the field, and by individual and constructed organismal assemblages; and 3) examining the influence of those metabolites on the growth and traits of microorganisms and on the coral settlement process. This work advances knowledge about specific interactions between reef organisms that can be applied to other benthic and ocean ecosystems and contributes to our overall understanding of how biodiverse reef ecosystems are built and maintained.<br/><br/>This project is jointly funded by Biological Oceanography and Chemical Oceanography.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/12/2024

07/12/2024

None

Grant

47.050

1

4900

4900

2414888

[{'FirstName': 'Elizabeth', 'LastName': 'Kujawinski', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth B Kujawinski', 'EmailAddress': 'ekujawinski@whoi.edu', 'NSF_ID': '000298480', 'StartDate': '07/12/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Amy', 'LastName': 'Apprill', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amy Apprill', 'EmailAddress': 'aapprill@whoi.edu', 'NSF_ID': '000598245', 'StartDate': '07/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Brianna', 'LastName': 'Garcia', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brianna M Garcia', 'EmailAddress': 'brianna.garcia@whoi.edu', 'NSF_ID': '000898946', 'StartDate': '07/12/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'ZipCode': '025431535', 'PhoneNumber': '5082893542', 'StreetAddress': '266 WOODS HOLE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'GFKFBWG2TV98', 'ORG_LGL_BUS_NAME': 'WOODS HOLE OCEANOGRAPHIC INSTITUTION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431535', 'StreetAddress': '266 WOODS HOLE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}

[{'Code': '165000', 'Text': 'BIOLOGICAL OCEANOGRAPHY'}, {'Code': '167000', 'Text': 'Chemical Oceanography'}]

2024~1309859

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414888.xml'}

The Science Policy Colloquium: A Leadership Development Program to Equip Scientists for Societal Engagement

NSF

08/15/2024

07/31/2027

{'Value': 'Continuing Grant'}

{'Code': '06020100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Eric DeWeaver', 'PO_EMAI': 'edeweave@nsf.gov', 'PO_PHON': '7032928527'}

This award supports participation of students and early-career scientists in the Science Policy Colloquium of the American Meteorological Society. The Colloquium addresses the need for interaction between policy makers and researchers who have domain expertise in areas relevant to policy decisions. It provides an opportunity for researchers interested in decision support to interact with policy makers and learn about policy making. Each year the Colloquium brings 20 to 40 participants to Washington DC for two weeks of intensive interactions with scientist-leaders from the legislative and executive branches, executives from NGOs, policy analysts, science journalists, and other stakeholders working in the policy arena. In addition to in-person dialog and interaction Colloquium participants are given pre-assigned reading and work through group exercises and case studies to learn about the policy making process. Funds provided through this award support the participation of 15 graduate students and early-career scientists in the Colloquium. NSF-funded participants are selected through a competitive process, based on the applicant's potential and accomplishments.<br/><br/>The primary broader impact of the award is the development of a cohort of researchers in disciplines related to weather and climate who can provide decision support for policy decisions in these areas. Such decision support is increasingly valuable as stakeholders and decision makers at all levels of government face a growing variety of challenges related to the management of weather and climate risk. Many researchers are interested in providing decision support, but the education and experience of scientists does not adequately prepare them to perform this role.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/05/2024

08/05/2024

None

Grant

47.050

1

4900

4900

2414893

{'FirstName': 'Paul', 'LastName': 'Higgins', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul Higgins', 'EmailAddress': 'phiggins@ametsoc.org', 'NSF_ID': '000549225', 'StartDate': '08/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'American Meteorological Society', 'CityName': 'BOSTON', 'ZipCode': '021083631', 'PhoneNumber': '6172272425', 'StreetAddress': '45 BEACON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MA08', 'ORG_UEI_NUM': 'WWMNNVBUMJX9', 'ORG_LGL_BUS_NAME': 'AMERICAN METEOROLOGICAL SOCIETY, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'American Meteorological Society', 'CityName': 'Washington', 'StateCode': 'DC', 'ZipCode': '200053928', 'StreetAddress': '1200 New York Avenue NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

{'Code': '779000', 'Text': 'Atmospheric Sci Cluster Prgrm'}

2024~131688

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414893.xml'}

CAREER: Toward a wireless power transfer system: high-frequency power electronics

NSF

10/01/2023

02/28/2026

{'Value': 'Continuing Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Mahesh Krishnamurthy', 'PO_EMAI': 'mkrishna@nsf.gov', 'PO_PHON': '7032928359'}

The modern electronic systems have been transforming rapidly to realize automation, such as automation in factories or warehouses and autonomous vehicles. As demand for automation grows, enabling technologies such as artificial intelligence, control, and smart charging systems become beneficial. However, while other technologies have been considerably revolutionized, the effort to develop a smart and efficient charging system for automation has not. Power electronics is a critical technology in the charging system to convert electric energy into a different level or type to deliver it to an electric load, such as batteries. Therefore, it must tackle the key challenges that prevent us from obtaining a smart, compact, and efficient charging system. As an effort to overcome the challenges, wireless power transfer technology has been explored to reduce the charging error and remove manual intervention to charge their batteries. It can eliminate heavy wire cables, connectors, and power plug failure resulting from dust, dirt, and other environmental factors. Moreover, the autonomous driving technology makes this technology beneficial because they can go to the charging station when their batteries run out. However, current power converters for wireless power transfer are limited in maximizing performance because of the available technologies and designs. This proposed research aims to develop a high-frequency power converter to miniaturize a wireless power transfer system efficiently and investigate pioneering charging methodologies for battery-powered vehicles. This research will accelerate advances in various applications such as transportation electrification and renewable energy technologies by improving the battery charging methodology. Broader transformative impacts are also anticipated from the proposed research into undergraduate and graduate curricula and the involvement of undergraduate and underrepresented students in research. Also, outreach to K-12 students and local industries will be pursued to introduce wireless power transfer and power-electronic circuits and ensure the broad transformative impact of the research activities.&lt;br/&gt;&lt;br/&gt;This project aims to investigate new design techniques to improve power density and performance of power electronics while studying innovative approaches that enhance the charging ability in the WPT system. The research will be performed through the intertwined thrusts that involve: i) designing and implementing a high-frequency resonant converter with magnetic resonant coupling coils to increase power density efficiently, ii) investigating a bidirectional wireless power transfer system using self-synchronous rectification and control system to provide Vehicle-to-Grid capability, and iii) exploring advanced wireless power transfer charging approaches such as vehicle-to-vehicle and dynamic charging to reduce the charging time by diversifying the charging methods. The dependence of the circuit performance on the switching devices, magnetic designs, gate drive circuitry, and compensation network topology will be explored in detail. The PI will simulate the proposed system in the multiphysics software to evaluate human exposure to electromagnetic fields due to high-power operation at high frequencies. Also, multiple coil structure will be studied to reduce the leakage fields and minimize the expensive and lossy shields. Successful project completion is anticipated to expand the operating range and power level of power-electronic circuits for wireless power transfer systems using novel charging approaches.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

01/30/2024

01/30/2024

None

Grant

47.041

1

4900

4900

2414898

{'FirstName': 'Jungwon', 'LastName': 'Choi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jungwon Choi', 'EmailAddress': 'jungchoi@uw.edu', 'NSF_ID': '000802116', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'StateCode': 'WA', 'ZipCode': '981951016', 'StreetAddress': '4333 BROOKLYN AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}

{'Code': '7607', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}

['2021~139750', '2022~102973']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414898.xml'}

PFI-TT: Plasma-based Pollution Remediation Device for the Removal of Diesel Soot

NSF

07/15/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to develop a new technology for remediating particulate matter (PM) produced by diesel engines, which represents a carcinogenic pollutant consisting of ultrafine, nanoscale, carbonaceous particles. These particulates have been linked to premature cardiovascular and respiratory deaths in metropolitan areas, as well as lung cancer. This project will reduce harmful emissions from large diesel engines (>600 kW), many of which currently have no pollution remediation devices. These diesel engines are largely unregulated because no viable technology currently exists for treating the exhaust from engines of this size. The current energy/transportation infrastructure depends heavily on these large diesel engines. This integrated Electrostatic Precipitator/Diesel Particulate Filter (ESP/DPF) system aims to reduce particulate matter (i.e., PM or soot) emissions across several sectors (including stationary diesel generators, construction, agriculture, mining heavy machinery, and locomotives) and will enable cleaner air in communities located near railways and mining sites. This project will involve summer undergraduate students from Citrus College, which is a minority serving institution.<br/><br/>The project will develop a novel device representing the first Electrostatic Precipitator (ESP) integrated with a Diesel Particulate Filter (DPF) in this fashion. In the plasma-enhanced (PE)-ESP, the nanosecond high voltage pulse plasma discharge gives rise to a six order of magnitude increase in the ion density compared to that of conventional electrostatic precipitators, resulting in increased charge-per-particle and hydrodynamic effects (i.e., ionic winds), which further improve the ESP process, enabling significantly smaller ESP designs than were previously possible. The industry partner, Rypos, has developed a highly porous, stainless steel material that represents a key innovative component of the research. The stainless steel is electrically conducting while also able to trap nanoscale diesel particulates. The configuration and detailed microstructure of this material will open up new degrees of freedom in the design of the integrated ESP/DPF system. In addition, an improved computational model will be developed (including hydrodynamic effects and the transient nature of the plasma) that will play an important role in interpreting experimental data and guiding in the design of the integrated ESP/DPF system.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/09/2024

07/09/2024

None

Grant

47.084

1

4900

4900

2414900

[{'FirstName': 'Stephen', 'LastName': 'Cronin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stephen Cronin', 'EmailAddress': 'scronin@usc.edu', 'NSF_ID': '000118687', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Peter', 'LastName': 'Ellison', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter Ellison', 'EmailAddress': 'pre@rypos.com', 'NSF_ID': '000991266', 'StartDate': '07/09/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'ZipCode': '90033', 'PhoneNumber': '2137407762', 'StreetAddress': '3720 S FLOWER ST FL 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_ORG': 'CA34', 'ORG_UEI_NUM': 'G88KLJR3KYT5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTHERN CALIFORNIA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900890001', 'StreetAddress': '3737 Watt Way', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}

{'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}

2024~550000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2414900.xml'}

Conference: Travel Awards to Attend the Twentieth Latin American Symposium on Mathematical Logic

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Tomek Bartoszynski', 'PO_EMAI': 'tbartosz@nsf.gov', 'PO_PHON': '7032924885'}

This award supports up to sixteen US-based researchers in mathematical logic to attend the Twentieth Simposio Latino Americano de Logica Matematica, which will take place in Piriapolis, Uruguay, on July 1-5, 2024. These logicians, all based at universities in the USA, will include doctoral students, early-career researchers, and senior scholars in the discipline of logic. Many of them will give presentations about their own original research in this area, and all will have the opportunity to attend many other talks and to learn what progress is being made in research in logic across the Americas. The SLALM, which is held every two to three years, is the pre-eminent conference in logic in Latin America, which has proven over recent decades to be a region of great productivity in this field.&lt;br/&gt;&lt;br/&gt;Logic in Latin America does not always focus on the same areas as it does in the US. There is a heavy concentration of non-classical logicians, especially in South American nations, making it important for external researchers to come to the SLALM in order to keep current on progress in this area. In contrast, computability theory is much more prominent in the US than in Latin America, and US-based researchers who attend the SLALM will be able to detail and explain recent advances in this area. Model theory is well represented in Colombia and Costa Rica in particular, as well as in the US, while set theorists are scattered all over the Americas, both North and South. There have often been fruitful collaborations between US and Latin American scholars in these fields, and we confidently expect this SLALM to produce many more.&lt;br/&gt;&lt;br/&gt;Further information is available at https://xxslalm.cmat.edu.uy/.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/26/2024

03/26/2024

None

Grant

47.049

1

4900

4900