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I-Corps: Translation Potential of Gallium Oxide Diodes and Transistors

NSF

05/01/2024

04/30/2025

{'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 gallium oxide (Ga2O3) diodes and transistors for power electronics applications. In power electronics, semiconductors with larger bandgaps are important since they enable the miniaturization of transistors and diodes, thereby reducing the device’s resistance and improving efficiency. In addition, wide bandgap materials enable efficient, high-frequency operations, which may significantly reduce the size of passive circuit components, such as capacitors and inductors. This technology uses the wide bandgap material, Ga2O3, that may enable the creation of more compact, efficient, and high-performing power conversion circuits at a cost competitive with existing technologies. For the energy sector, the solution may improve efficiencies within the grid, allowing for more efficient green energy conversion and contributing to a reduction in carbon dioxide (CO2) emissions. For electric vehicles, the charging times may be reduced due to increased charging power realized through Ga2O3. In defense and aerospace, the miniaturization of directed-energy systems without compromising power may lead to more agile and longer-rage weapon systems. For drones and satellites, the reduction in size and weight due to Ga2O3-based components may increase capabilities and reduce launch costs.<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 gallium oxide (Ga2O3) diodes and transistors. Gallium oxide is a new, ultra-wide bandgap semiconductor material. Its unique properties enable large electric fields, which may facilitate extreme device scaling. The bandgap of a semiconductor, which determines the energy required to free an electron enabling conduction, is critical in the field of power electronics (PE). By replacing silicon (Si) and silicon carbide (SiC) diodes and transistors with Ga2O3 diodes and transistors, size, weight, and cost reductions may be realized while matching or improving performance metrics such as power and reliability. Within the Ga2O3 field, efficient, high-voltage switching has been demonstrated. Moreover, the availability of large-area, high-quality substrates on which Ga2O3 films can be grown enable low-defect, vertical devices to be realized. As such, vertical device topologies are of particular interest. Results have demonstrated diodes with the ability to block ~2.9 kV. Gallium oxide with its large bandgap of approximately 4.8 eV, combined with the availability of affordable, high-quality bulk substrates for film growth, is positioned as an innovative technical solution.<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.

04/29/2024

04/29/2024

None

Grant

47.084

1

4900

4900

2418702

{'FirstName': 'Debdeep', 'LastName': 'Jena', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Debdeep Jena', 'EmailAddress': 'djena@cornell.edu', 'NSF_ID': '000487331', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'StateCode': 'NY', 'ZipCode': '148502820', 'StreetAddress': '341 PINE TREE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418702.xml'}

LEAPS-MPS: Unveiling the Ultra-High-Energy Universe with the Giant Radio Array for Neutrino Detection (GRAND)

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

Most of our knowledge about the Universe comes from the observation of photons, including microwaves, X-rays and gamma rays. However for very large energies the Universe is not transparent. In order to study the highest energy phenomena, one must look at ultra high energy (UHE) neutrinos. They can address important questions such as the nature of dark matter, the possibility of new particles and interactions at energy scales beyond the Large Hadron Collider and new fundamental symmetries. The PI will join the GRAND (Giant Radio Array for Neutrino Detection) observatory which has been proposed to study UHE neutrinos. When these neutrinos enter the atmosphere, they will interact and produce large particle showers that will emit radio signals. GRAND will detect these emissions with the most extensive array of radio antennas ever assembled. There are several projects in the proposal that will each have significant student participation and will be accessible to undergraduates as well as Masters students at a Hispanic-serving institution.<br/><br/><br/>The proposal consists of three projects for the GRAND observatory. This observatory has the potential to make major contributions to multi-messenger astronomy. It will detect much-awaited cosmogenic neutrinos and distinguish the contributions of newborn pulsars, AGNs, afterglows of gamma-ray bursts and galaxy clusters. The three projects will make ample use of modern Machine Learning techniques to develop software and various statistical tools for the detection and analysis of UHE neutrinos. They will implement a fast and accurate model parameter regression framework for the reconstruction of air showers using modern optimization algorithms, efficient disentangle real radio signals from background noise by configuring and training a Convolutional Denoising Autoencoder and will use modern Machine Learning methods to build a fast and accurate emulator for radio emissions from extensive air showers. The project will establish a GRAND team at SF State and provide opportunities for students to participate in numerical modeling and lear research computing techniques. They will create programming tutorials and enhance the MasterClass program led by the PI.<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.

05/21/2024

05/21/2024

None

Grant

47.049

1

4900

4900

2418730

{'FirstName': 'Oscar', 'LastName': 'Macias Ramirez', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Oscar A Macias Ramirez', 'EmailAddress': 'macias@sfsu.edu', 'NSF_ID': '000958187', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'San Francisco State University', 'CityName': 'SAN FRANCISCO', 'ZipCode': '941321740', 'PhoneNumber': '4153387090', 'StreetAddress': '1600 HOLLOWAY AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'CA11', 'ORG_UEI_NUM': 'F4SLJ5WF59F6', 'ORG_LGL_BUS_NAME': 'SAN FRANCISCO STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'NUDGYLBB4S99'}

{'Name': 'San Francisco State University', 'CityName': 'SAN FRANCISCO', 'StateCode': 'CA', 'ZipCode': '941321722', 'StreetAddress': '1600 HOLLOWAY AVE BUILDING NAD ROOM 358C', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'CA11'}

{'Code': '217Y00', 'Text': 'LEAPS-MPS'}

2024~249995

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418730.xml'}

Studies of Warm Rain Evolution using X-band Dual Polarization Radars and Advanced Ground Instruments during Summer Season in South Korea

NSF

06/15/2024

05/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Yu Gu', 'PO_EMAI': 'ygu@nsf.gov', 'PO_PHON': '7032928796'}

Raindrops are formed when millions of tiny cloud drops coalesce with the larger raindrops due to fall speed differences. It is indeed remarkable that raindrops can form in around 30-60 minutes by the processes of coalescence and further by collisions between raindrops and cloud. There are many other processes that occur, with the final result being raindrops of different sizes and number densities. The mathematical equations governing the different processes are not known precisely so many approximations are needed. The term “warm” rain generally refers to clouds whose temperature is warmer than 0 degree centigrade but such warm rain clouds can also be embedded in “cold” clouds, the combination of which produces prolific amounts of rain, the most being from hurricanes and tornadic storms. The measurement of rainfall amounts is made by sophisticated instruments that fundamentally derive the number density and sizes of drops. The research objectives of this project are related to the latter objectives of a field program which will be conducted in the summer of 2024-2025 at Incheon, Republic pf Korea under the auspices of the Korean Meteorological Agency. Rainfall in these regions have many warm clouds embedded in deep cold clouds yielding large rainfall. <br/><br/>The specific goals are: (i) to characterize the underlying shapes of the drop size distributions (DSDs) in terms of the generalized gamma model and to evaluate its stability, taking into consideration rain-types and/or climatological dependence, if any; (ii) to retrieve DSD moments (0th to 7th) from two X-band polarimetric radar observations, focusing on the height profiles of the lower order moments especially over a heavily instrumented supersite, and cell-tracking thereafter; (iii) to determine how turbulent intensity affects the drop fall speeds; (iv) for events with significant turbulent intensity, to reconstruct the rain drop shapes from ground measurements and perform scattering calculations. The findings from this project will have direct impact on assessing accuracies of warm rain microphysical schemes. Cell tracking using 2 polarimetric X-band radars will enable more comprehensive understanding of the microphysical processes in a Lagrangian sense. Further, the concepts of the methods developed for retrieving DSD moments can be adapted to satellite-borne dual-frequency radar measurements. Another important area where the work will have direct relevance is radiowave propagation, specifically relating to co-polar and cross-polar effects for communications systems operating at millimeter waves. The effect of turbulence intensity on drop-fall velocities will undoubtedly have significant implications for hydrology and soil erosion related research.<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.

05/30/2024

05/30/2024

None

Grant

47.050

1

4900

4900

2418753

{'FirstName': 'Viswanathan', 'LastName': 'Bringi', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Viswanathan N Bringi', 'EmailAddress': 'bringi@engr.colostate.edu', 'NSF_ID': '000272413', 'StartDate': '05/30/2024', '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': '805212807', 'StreetAddress': '601 S HOWES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

{'Code': '152500', 'Text': 'Physical & Dynamic Meteorology'}

2024~406901

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418753.xml'}

Calculation of Molecular Properties with Multicomponent Methods

NSF

06/01/2024

05/31/2027

{'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'}

With support from the Chemical Theory, Models and Computational Methods Program in the Division of Chemistry, Kurt Brorsen of the University of Missouri-Columbia is developing techniques to compute molecular properties with multicomponent methods to account for critically important quantum mechanical effects. Part of the great success of quantum chemistry in the last fifty years has been its extension to the precise and accurate calculation of molecular properties such as structural and spectroscopic constants or nuclear magnetic resonance chemical shifts. However, most standard methods of quantum chemistry do not capture changes due to nuclear quantum effects. This can lead to errors that reduce the predictive ability of computation. Dr. Brorsen and his research group will extend a class of quantum-chemistry methods called multicomponent methods that inherently include nuclear quantum effects to the calculation of a variety of molecular properties. He will apply the methods to calculate the properties of small astrochemically relevant molecules hypothesized to be present in the interstellar medium. Building on an existing partnership with a regional area high school, Dr. Brorsen will implement a new educational program, Summer Chemistry Research at Mizzou (SCRAM), that will provide area high school students with research opportunities in computational chemistry. Through the SCRAM program, Dr. Brorsen and his group will introduce high school students to how computers can be used to calculate simple molecular properties such as bond distances.<br/><br/>Multicomponent methods include nuclear quantum effects such as finite-sized nuclei and vibrational averaging in computational chemistry calculations by using a multicomponent Hamiltonian that treats electrons and nuclei identically and on equal footing. While the field of multicomponent methods has made great progress in the last few years, most previous studies have used multicomponent density functional theory (DFT) to compute quantities related to the potential energy surface. Dr. Brorsen and his group will extend the applicability of multicomponent DFT methods by developing multicomponent DFT methods to compute magnetic properties such as nuclear magnetic resonance shielding constants, indirect nuclear spin-spin coupling constants, and EPR hyperfine tensors. They will use these new methods to investigate actinide oxide compounds studied at the University of Missouri-Columbia. Dr. Brorsen and his group plan to derive and implement a constrained multicomponent coupled-cluster (CC) method. He and his group will also implement the first multicomponent CC analytic gradient. This will enable computationally efficient geometry optimizations and semi-numerical Hessians to be performed using multicomponent CC methods. The group will use the multicomponent CC method to compute the rotational constants and centrifugal-distortion constants of astrochemically relevant molecules such as HC3N and HC3NH+. All code from the project will be released with the Apache 2.0 permissive free software license to allow other researchers to use the 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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2418760

{'FirstName': 'Kurt', 'LastName': 'Brorsen', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kurt R Brorsen', 'EmailAddress': 'brorsenk@missouri.edu', 'NSF_ID': '000859481', 'StartDate': '04/18/2024', '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', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Missouri', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'MO03'}

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

2024~510000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418760.xml'}

LEAPS-MPS: Ultracold Atoms for Quantum Science

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

While simple quantum systems have long been studied, there is increasing interest in quantum many-body systems, which play an increasingly important role in applied science and technology and in fields ranging from chemistry to cosmology. These states, in which many degrees of freedom are entangled, are prohibitive to simulate on classical computers. Ultracold atoms provide a powerful tool for simulating quantum many-body systems because they can be isolated from their environment, tuned over wide ranges and probed with high resolution. This proposal is to develop a new experimental platform for creating new quantum simulation of many-body spin systems which will simulate quantum magnetism. This will help understand how entanglement spreads in many-body interacting systems with applications in quantum metrology and quantum computing. The PI will train students for careers in quantum information science with summer research programs, will develop 3-2 engineering partnerships with emerging Quantum Engineering degree programs and will join ongoing outreach at Lewis & Clark and the Portland community.<br/><br/>Quantum many-body systems have been very important in applied science and technology. They generally cannot be simulated on classical computers. The PI proposes to use ultracold atoms as a platform for quantum simulation since they can be isolated from the environment, tuned over wide ranges, and probed with great resolution There is particular interest in systems far from equilibrium since spintronics, quantum-enhanced metrology and quantum computing all occur far from equilibrium. The PI will develop a new experimental platform for creating new non-equilibrium quantum simulations of many-body spin systems. They will explore extensions to the quantum Heisenberg Model which will inform models of quantum magnetism. The PI will use Lithium 6. This is a good choice since it is one of the first neutral atoms to be laser-cooled to quantum degeneracy, it is naturally abundant and is one of the few stable fermionic alkali isotopes. Also, atomic interactions can be easily tuned using magnetic Feshbach resonances. The two isotopes of lithium have similar resonant frequencies and thus a single apparatus can produce quantum simulations of either fermionic or bosonic systems. The PI will use undergraduate researchers to make preliminary measurements of the spin properties of many-body quantum systems. He will broaden STEM participation with a multi-pronged approach – through mentored summer research opportunities, cultivating dual-degree 3-2 partnerships emphasizing QIS careers and ongoing outreach, including middle-school lessons and summer camps.<br/><br/><br/><br/><br/><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.

06/18/2024

06/18/2024

None

Grant

47.049

1

4900

4900

2418777

{'FirstName': 'Ben', 'LastName': 'Olsen', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ben A Olsen', 'EmailAddress': 'bolsen@lclark.edu', 'NSF_ID': '000949664', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Lewis and Clark College', 'CityName': 'PORTLAND', 'ZipCode': '972198091', 'PhoneNumber': '5037687211', 'StreetAddress': '615 S PALATINE HILL RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'OR05', 'ORG_UEI_NUM': 'JXJJHFBDBLD5', 'ORG_LGL_BUS_NAME': 'LEWIS & CLARK COLLEGE', 'ORG_PRNT_UEI_NUM': 'JXJJHFBDBLD5'}

{'Name': 'Lewis and Clark College', 'CityName': 'PORTLAND', 'StateCode': 'OR', 'ZipCode': '972198091', 'StreetAddress': '615 S PALATINE HILL RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'OR05'}

{'Code': '217Y00', 'Text': 'LEAPS-MPS'}

2024~249684

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418777.xml'}

LEAPS-MPS: Searching for an Extended Higgs Sector at the Large Hadron Collider

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

The Standard Model of particle physics describes the fundamental constituents of the universe and their interactions. One of the greatest scientific triumphs of this century was the discovery of the Higgs boson in 2012. This made the Standard Model complete and self-consistent. However, there remain several phenomena that the Standard Model does not explain, including dark matter, the existence of matter instead of antimatter, the huge disparity between the strength of the non-gravitational forces and that of gravity, etc. Many of these phenomena can be explained by extending the Standard Model and popular extensions involve additional Higgs bosons. The PI proposes to search for these additional Higgs bosons at the Large Hadron Collider as part of the ATLAS Collaboration. He has identified a particular signature that has not been thoroughly studied and proposes to do a complete analysis of this signature. The project is accessible to undergraduates and the PI will recruit several students to work on the computational aspects and travel to CERN to work with others in the collaboration. An important aspect of this Collaboration is the Open Data project, which releases data, simulation and analysis tools to the public, and the PI will work with undergraduates as well as local high school teachers to develop this material. His institution, CSU Stanislaus, is a Hispanic-serving institution which is largely first-generation and low-income.<br/><br/><br/>Many extensions of the Standard Model involve additional singlet or doublet scalar fields which then predict the existence of new scalar bosons similar to the Higgs boson and which might mix with the Standard Model Higgs. The PI proposes to search for a class of these scalars using data from the ATLAS experiment at the Large Hadron Collider, focusing on resonant scalar production in the highly sensitive 2-bottom quark, 2- tau final state. The search will include developing selection criteria to separate signal from background, estimating background processes using data-driven techniques and developing machine-learning methods to reconstruct and identify the 2-tau signature arising from a resonance of an unknown mass. There are several distinct projects, including a signal Monte Carlo Simulation, signal Topology, Trigger Efficiency, Missing Mass Calculator and Signal Selection. Undergraduates will be able to play an active role in all of these projects. Although a search has been studied by the CMS Collaboration, it has not yet been done by ATLAS which might provide stronger limits (or a discovery). The project will be performed primarily by undergraduate students in collaboration with other members of the ATLAS Collaboration. <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.

05/21/2024

05/21/2024

None

Grant

47.049

1

4900

4900

2418779

{'FirstName': 'Jason', 'LastName': 'Veatch', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jason Veatch', 'EmailAddress': 'jveatch@csustan.edu', 'NSF_ID': '000976125', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California State University-Stanislaus', 'CityName': 'TURLOCK', 'ZipCode': '953823200', 'PhoneNumber': '2096673493', 'StreetAddress': 'ONE UNIVERSITY CIRCLE', 'StreetAddress2': '112A', 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'CA05', 'ORG_UEI_NUM': 'SRT1YX7KJQL4', 'ORG_LGL_BUS_NAME': 'CALIFORNIA STATE UNIVERSITY, STANISLAUS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California State University-Stanislaus', 'CityName': 'TURLOCK', 'StateCode': 'CA', 'ZipCode': '953823200', 'StreetAddress': 'ONE UNIVERSITY CIRCLE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'CA05'}

{'Code': '217Y00', 'Text': 'LEAPS-MPS'}

2024~249874

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418779.xml'}

Mechanisms of Pathogenicity and Host Specificity of the Oomycete Plant Pathogen Phytophthora palmivora

NSF

01/01/2024

07/31/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Courtney Jahn', 'PO_EMAI': 'cjahn@nsf.gov', 'PO_PHON': '7032927746'}

Phytophthora palmivora is a fungus-like eukaryotic microorganism that causes devastating diseases of numerous agriculturally and ecologically important plants, including cacao, a tropical perennial tree that produces the major component of the multi-billion-dollar chocolate industry. The annual global loss on cacao due to diseases caused by P. palmivora is at least one billion U.S. dollars. As a very aggressive pathogen, P. palmivora is often capable of infecting almost all plant parts of a host, rendering its control extremely challenging. As a result, it has become an increasing threat to agricultural production and ecosystems. Diseases caused by P. palmivora are managed by frequent application of fungicides with limited success. The long-term goal of this project is to develop novel, effective and environmentally friendly strategies to control P. palmivora based on the fundamental understandings of its infection mechanisms. To this end, the specific objectives of this project are to identify the key pathogenicity factors of P. palmivora, how these factors act on plant cellular components to contribute to disease, and how their presence/absence in a P. palmivora isolate determines which plant species to infect. This project is expected to generate significant foundational knowledge essential for developing desirable disease control measures, thereby significantly contributing to food security, sustainability of natural ecosystems and the bioeconomy. In addition, the project will contribute to STEM workforce sustainability by providing training opportunities to graduate, undergraduate and high school students, and introducing plant pathology and gene-editing technology to middle/high-school teachers to attract a new generation into agriculture and life sciences. &lt;br/&gt;&lt;br/&gt;Oomycetes form a distinct phylogenetic lineage of eukaryotes, with many causing devastating diseases of plants and animals. Phytophthora palmivora is a destructive broad-host-range oomycete plant pathogen with host specificity. P. palmivora delivers a diverse array of effectors to manipulate the host cellular processes to facilitate infection, including the superfamily of RxLR effectors that are defined by an N-terminal signal peptide followed by a canonical RxLR (or RxLR-EER) translocation motif that mediates entry into host cells. The P. palmivora RxLR effector designated PpalRxLR1 contains a functional nuclear localization signal with potential DNA-binding activities and was identified as a key pathogenicity factor on cacao. It is present in all examined P. palmivora isolates obtained from cacao infections, but exhibits presence/absence polymorphisms across the species, suggesting that it may be a determinant of host range and specificity. This project is to: 1) determine the mechanisms by which PpalRxLR1 confers pathogenicity on cacao by determining its nuclear-localized molecular interaction dynamics and the subverted host cellular processes during infection, 2) determine the role of PpalRxLR1 as a key component in host range evolution of P. palmivora by analyzing its evolution relative to the species and association with host range, 3) identify additional effectors with key roles in pathogenicity of P. palmivora on specific or a broad range of hosts using the natural variation of P. palmivora isolates. Integrating across specific aims is expected to transform understanding of the molecular basis of pathogenicity and host range evolution of P. palmivora, key aspects of plant-microbe interactions.&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.

02/15/2024

02/15/2024

None

Grant

47.074

1

4900

4900

2418799

{'FirstName': 'Miaoying', 'LastName': 'Tian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Miaoying Tian', 'EmailAddress': 'mtian@hawaii.edu', 'NSF_ID': '000690306', 'StartDate': '02/15/2024', 'EndDate': None, 'RoleCode': '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', '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': '047Y', 'Text': 'Plant-Biotic Interactions'}

2023~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418799.xml'}

Conference: Caring for the Future: Empathy in Engineering Education

NSF

03/15/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Alice Pawley', 'PO_EMAI': 'apawley@nsf.gov', 'PO_PHON': '7032927286'}

In today's fast-paced world, engineers play a crucial role that goes beyond just fixing technical issues. To build a sustainable and connected world, engineers need more than just technical skills – they need empathy. Empathy helps them understand different viewpoints, work well with others, and tackle big challenges that affect us all. For these reasons, through this project educators and researchers from different disciplines will come together in a three-day forum to talk about how to include empathy in the engineering education curricula. The primary objective is to cultivate a new generation of empathetic and socially conscious professionals capable of thriving in diverse, multicultural settings and contributing as conscientious global citizens. By nurturing engineers who embrace collaboration, value diverse viewpoints, and approach issues with ethical and empathetic lenses, this conference will address a critical gap in engineering education. By focusing on empathy, engineering educators are not only teaching technical skills; they are teaching future engineers how to be good citizens of the world. This initiative aligns with the National Science Foundation Engineering Education Centers’ overarching goal of fostering innovation and societal impact. By setting up an agenda of how to include empathy in engineering education, we are not just preparing students for their careers – we are helping to build a world where people understand each other better, work together more effectively, and make decisions that benefit everyone. <br/><br/>In response to the evolving global landscape, engineers are increasingly required to possess skills beyond technical proficiency. This forum will advocate for the integration of empathy into engineering education to foster a sustainable and cohesive global community. The three-day conference will convene higher education researchers and educators across diverse disciplines to deliberate and devise methodologies for embedding empathy within the engineering curriculum. The overarching objective is to cultivate a cadre of empathetic and socially conscious young engineers capable of navigating multidisciplinary, multicultural environments and assuming roles as conscientious global citizens. By fostering collaboration among educators, researchers, and practitioners from diverse domains, this initiative seeks to catalyze a paradigm shift towards empathy-driven engineering education, with the ultimate objective of producing engineers who are not only proficient but also empathetic.<br/><br/>The outcomes of the conference hold significant intellectual merit as it endeavors to bridge a critical gap in engineering education. By integrating empathy into the engineering curriculum, it heralds a paradigmatic transformation in the preparation of future engineers. This initiative contributes to the academic realm through three key avenues: advancing comprehension of empathy's role in engineering education, fostering innovative curriculum development, and promoting interdisciplinary collaboration. Moreover, the broader impacts of this conference reverberate across academia, industry, and society. It redefines pedagogical norms, enhances engineering education quality and relevance, promotes innovation and sustainability in industry, and nurtures a more harmonious and inclusive global society through the cultivation of compassionate, responsible engineers.<br/><br/>Throughout the conference proceedings, data will be actively collected through surveys, feedback mechanisms, and participant interactions to gain valuable insights into the efficacy of the conference discussions, workshops, and collaborative endeavors. This data will serve as a foundation for generating a comprehensive report, which will be disseminated among NSF and the wider community of practitioners. Anticipated outcomes are in the following areas: research and curriculum agenda; resource sharing; networking and collaboration; knowledge dissemination of the findings to benefit a wider audience of educators, researchers, and practitioners in engineering 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.

03/15/2024

03/15/2024

None

Grant

47.041

1

4900

4900

2418876

{'FirstName': 'Diana', 'LastName': 'Bairaktarova', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Diana Bairaktarova', 'EmailAddress': 'dibairak@vt.edu', 'NSF_ID': '000653622', 'StartDate': '03/15/2024', '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': '635 Prices Fork', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

{'Code': '134000', 'Text': 'EngEd-Engineering Education'}

2024~49843

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418876.xml'}

LEAPS-MPS: Toward Extracting the Scattering Phase Shift from Integrated Correlation Functions of Two-Nucleon Interaction in LQCD

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

One of the most important processes in nuclear physics is the scattering of protons and neutrons (collectively nucleons) off each other. NN scattering has been studied for decades in laboratories, however there are many such scattering processes that are inaccessible in laboratories. Nucleon interactions in neutron stars, heavy ions, dense matter and many astrophysical areas can’t be probed in labs and thus theoretical calculations are critical. The most reliable calculations come from Lattice quantum chromodynamics (LQCD). Unfortunately, these calculations have significant challenges resulting from signal to noise issues to discrepancies using different methods. The PI proposes to use a new robust tool for calculating these processes as an alternative to the usual method. Undergraduate students will be recruited and engaged in numerical simulation, data analysis and LQCD calculations of the simple two-pion system. This project will catalyze a computational science research and education network at Dakota State, will involve a training program for K-12 science teachers, especially from tribal high schools, and will also pilot a broadening participation program with regional Indigenous communities.<br/><br/>Reliable calculations of two-nucleon scattering in LQCD are crucial in nuclear physics. The current methods use a two-step Lucsher formula method for calculating phase shifts of two-nucleon systems. The PI proposes to find a new method for this calculation by extracting phase shifts from integrated finite volume correlation functions at small Euclidean times. They will establish a relativistic coupled channel formalism in LQCD, perform analytical and numerical tests on the developed formalism by perturbation theory and study of lattice artifacts in a controlled environment and in collaboration with George Washington University colleagues will study two-pion scattering as a test of the method’s effectiveness and robustness. Four undergraduate students will be recruited and will participate in numerical simulation, data analysis and the two-pion studies. In addition, the PI will offer a weeklong computational science research and training program for K-12 science teachers from tribal high schools, will initiate a strategic partnership with high school teachers to promote STEM education among Native American students and recruit four tribal high school students to work closely with the PI.<br/><br/>This project is jointly funded by LEAPS-MPS and the Established Program to Stimulate Competitive Research (EPSCoR).<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.

06/04/2024

06/04/2024

None

Grant

47.049, 47.083

1

4900

4900

2418937

{'FirstName': 'Peng', 'LastName': 'Guo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peng Guo', 'EmailAddress': 'peng.guo@dsu.edu', 'NSF_ID': '000991357', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Dakota State University', 'CityName': 'MADISON', 'ZipCode': '570421735', 'PhoneNumber': '6052565112', 'StreetAddress': '820 N WASHINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'South Dakota', 'StateCode': 'SD', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'SD00', 'ORG_UEI_NUM': 'ZJH6J31KU5C6', 'ORG_LGL_BUS_NAME': 'DAKOTA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Dakota State University', 'CityName': 'MADISON', 'StateCode': 'SD', 'ZipCode': '570421735', 'StreetAddress': '820 N WASHINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Dakota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'SD00'}

[{'Code': '217Y00', 'Text': 'LEAPS-MPS'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]

2024~250000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2418937.xml'}

Collaborative Research:Theory-guided Design and Discovery of Rare-Earth Element 2D Transition Metal Carbides MXenes (RE-MXenes)

NSF

02/15/2024

07/31/2025

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Robert Meulenberg', 'PO_EMAI': 'rmeulenb@nsf.gov', 'PO_PHON': '7032927106'}

NON-TECHNICAL SUMMARY<br/><br/>The ever-increasing demand for higher computing power and data storage while reducing power consumption and carbon footprint calls for new materials and computing paradigms. This need is accentuated by the fact that after decades of aggressive miniaturization, electronic devices are currently reaching the end of the road for traditional materials as we “run out of atoms”. Two-dimensional (2D) materials, a relatively new class of materials consisting of few-atom-thick sheets, provide a platform to address these challenges. Particularly interesting are 2D transition metal carbides, known as MXenes, composed of two to four atomic layers of transition metals separated by an atomic layer of carbon. MXenes are studied for various applications, including energy storage and generation, blocking electromagnetic waves, and antenna. Despite significant progress, room temperature magnetism, important for quantum computation, computer memories, and spintronics, has remained elusive. With this project, supported by the Solid State and Materials Chemistry program in the Division of Materials Research, Professor Babak Anasori at Indiana University Purdue University Indianapolis and Professor Alejandro Strachan at Purdue University and their research groups will design and fabricate novel 2D MXenes that contain rare-earth elements, such as neodymium and gadolinium, and develop a fundamental understanding of how such elements can be used to control the electronic, magnetic, and optical properties of these materials. Computational modeling is used to guide the experimental design of these new materials and reduce the number of experiments to the most promising candidates. The team hypothesizes that the use of rare-earth elements in MXenes can lead to the first room-temperature 2D magnets. To accelerate innovation, all experimental and theoretical results produced and models developed will be made accessible for the researchers and educators for online computing. The microscopic images of nanomaterials and 2D materials have been used in many nanoart visualizations, such as NanoArtography, to promote STEM. The nanoart images will be integrated into local nanoscience outreach activities, such as Purdue’s NanoDays, to motivate art-enthusiastic children to have a chance to learn about the science and engineering behind nanoart images.<br/><br/>TECHNICAL SUMMARY<br/><br/>2D transition metal carbide MXenes have become one of the largest 2D material families over the past decade. MXenes have metallic electrical conductivities, are hydrophilic, and capable of intercalating a host of ions and organic molecules, leading to outstanding performance in applications such as energy storage, electromagnetic interference (EMI) shielding, wireless communications, catalysis, and biomedicine. Double-transition metal MXenes are a subfamily of MXenes that enable significant tunability in properties by changing the MXenes transition metal compositions. The research, supported by the Solid State and Materials Chemistry program in the Division of Materials Research, aims to design, synthesize, and characterize a new family of 2D double-transition metal carbides: rare-earth (RE) f-element 2D MXenes opening the possibility of magnetic properties. This will be accomplished via a synergistic combination of theory and experiments. The overarching goal of this project is to develop a fundamental understanding of how different rare-earth elements can be incorporated into MXenes and use it to control the electronic, optical, and magnetic properties of these novel phases. The limiting factor hindering f-element MXenes is their synthesis that requires the design of novel f-element MAX phase precursors among the large compositional space. This project uses high-throughput first principles and thermodynamic calculations to identify stable precursors and their MXenes and use data science tools to guide experimental efforts. Rare-earth f-element MXenes can have radically different properties that have never been measured in regular MXenes and are absent in other 2D and bulk materials. Rare-earth MXenes can have potential applications from EMI shielding, optoelectronics, and catalysis to quantum computation, spintronics, and magnetoelectronics.<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.

02/06/2024

02/06/2024

None

Grant

47.049

1

4900

4900

2419026

{'FirstName': 'Babak', 'LastName': 'Anasori', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Babak Anasori', 'EmailAddress': 'banasori@iupui.edu', 'NSF_ID': '000818298', 'StartDate': '02/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'StateCode': 'IN', 'ZipCode': '479061332', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

{'Code': '176200', 'Text': 'SOLID STATE & MATERIALS CHEMIS'}

['2022~77099', '2023~113837']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419026.xml'}

I-Corps: Translation Potential of an Autonomous Road Assessment System

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 a road assessment and maintenance technology platform. Currently, there is a need for more frequent and accurate road condition evaluations. Such assessments have traditionally been hindered by labor-intensive, infrequent, and subjective manual inspections. This technology utilizes a fleet of mobile sensing agents equipped with cameras, depth sensors, a global positioning System (GPS), and accelerometers to modernize the way road conditions are assessed and maintained. The aim is to move away from traditional road assessment methods and provide a system that is autonomous, continuous, and objective. This new assessment technology has the potential to save billions in road maintenance costs but also may significantly enhance public safety by enabling quicker responses to emerging road issues.&lt;br/&gt;&lt;br/&gt;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 integrated pavement assessment system that utilizes autonomous sensing, machine learning, and large-scale data interpretation for intelligent condition assessment of roadways. By leveraging a network of low-cost mobile sensing agents, the technology collects real-time, high-resolution data on pavement conditions, that, when analyzed through artificial intelligence (AI) algorithms, yields an assessment of roadway health. The technology merges several fields including the Internet of Things (IoT) for deploying the swarm of sensors, AI for interpreting the massive data sets collected, and crowdsourcing to augment the data gathering process. This approach may allow for a shift from schedule-based maintenance to condition-based maintenance, enabling quicker responses to road wear and potential issues, thus enhancing public safety and potentially saving billions in road maintenance costs.&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.

04/01/2024

04/01/2024

None

Grant

47.084

1

4900

4900

2419027

{'FirstName': 'Mohammad', 'LastName': 'Jahanshahi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mohammad Jahanshahi', 'EmailAddress': 'jahansha@purdue.edu', 'NSF_ID': '000678273', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'StateCode': 'IN', 'ZipCode': '479061332', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

{'Code': '8023', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419027.xml'}

Conference: Arithmetic, Geometric, and Computational Aspects of Drinfeld Modules and Anderson Motives

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Adriana Salerno', 'PO_EMAI': 'asalerno@nsf.gov', 'PO_PHON': '7032922271'}

A special session "Arithmetic, Geometric, and Computational Aspects of Drinfeld Modules and Anderson Motives", organized by the PI, Tuan Ngo Dac, Matthew Papanikolas, and Federico Pellarin, will take place July 23-26, 2024 in Palermo (Italy), at the joint meeting of the American Mathematical Society and Unione Matematica Italiana. The purpose of this session is to bring together international experts in a variety of areas of arithmetic geometry, automorphic forms, and function field arithmetic. The emphasis of the conference will be on recent spectacular developments in the theory of Drinfeld modules and their generalizations. The conference will increase international collaboration between mathematicians from different parts of the world. This award will cover the travel expenses of invited participants from the United States, with the priority given to junior researchers and members of underrepresented groups.<br/><br/>Since their emergence in 1970s, Drinfeld modules and their moduli spaces had a tremendous impact on arithmetic geometry, leading to a successful resolution of the global and local Langlands conjectures over function fields. Over the last few years, there has been an explosion of activity in function field arithmetic, with many spectacular results on special values of higher derivatives of L-functions of automorphic forms, special values of Carlitz-Goss L-functions, and Drinfeld modular forms. In all these works, Drinfeld modules and their generalizations play a prominent role. Moreover, new tantalizing connections have been discovered between different topics of function field arithmetic, such as special values of characteristic p zeta functions, deformations of Drinfeld modular forms, and function field analogue of Fontaine’s theory. These developments, along with possible future directions of research, will be addressed by the invited speakers of the special session with the hope to inspire new generations to take part in this important and very active area of Number Theory. Conference webpage: https://sites.google.com/uniroma1.it/drinfeld-modules/home-page<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.

04/26/2024

04/26/2024

None

Grant

47.049

1

4900

4900

2419068

{'FirstName': 'Mihran', 'LastName': 'Papikian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mihran Papikian', 'EmailAddress': 'papikian@math.psu.edu', 'NSF_ID': '000433034', 'StartDate': '04/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'StateCode': 'PA', 'ZipCode': '168021503', 'StreetAddress': '201 OLD MAIN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'PA15'}

{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}

2024~15000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419068.xml'}

CC* Integration-Small: Integrating Application Agnostic Learning with FABRIC for Enabling Realistic High-Fidelity Traffic Generation and Modeling

NSF

10/01/2023

09/30/2024

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Deepankar Medhi', 'PO_EMAI': 'dmedhi@nsf.gov', 'PO_PHON': '7032922935'}

Novel approaches to networking and application development require high-fidelity testing and evaluation supported by realistic network usage scenarios. Furthering the pursuit of these novel approaches, the FABRIC testbed (https://whatisfabric.net) can store and process information "in the network" in ways not possible in the current Internet, which will lead to completely new networking protocols, architectures and applications that address pressing problems with performance, security and adaptability in the Internet. This project will provide researchers the means to easily utilize the new capabilities of the FABRIC testbed through a suite of new tools - smoothing the transition of existing experiments to the testbed and enabling exciting new areas of research.&lt;br/&gt;&lt;br/&gt;This project will produce three systems facilitating end to end traffic modeling and generation in the FABRIC environment. A model repository will be created for the storage and access of custom models by experimenters, and will be seeded with stock models of some popular applications for immediate use. The use of the models within FABRIC-hosted experiments will be advanced through a bespoke matching system that will align experiment resources with model requirements. Finally, for experiments developing novel applications, a tool will be provided for creating new models using data captured with FABRIC infrastructure components. &lt;br/&gt;&lt;br/&gt;FABRIC users will gain direct low-friction access to the novel infrastructure capabilities of the testbed, freeing them to focus the bulk of their time and effort on their own research goals rather than dealing with the vagaries of resource availability, specialized driver setup, and complex data formats. As a result, testbed resources can be more optimally shared between experiments, and individual research tasks will be completed more quickly. The project will also provide input to future researchers and testbed implementors on streamlining workflows of high level services in support of research objectives over advanced testbed technologies.&lt;br/&gt;&lt;br/&gt;Documentation for project tools and code, as well as backing project data, will be located at http://docs.uh-netlab.org, and it will be publicly available for at least 5 years after the end of substantive project work. In-development source code is available on an ongoing basis via public internet resources linked from the documentation site.&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.

02/15/2024

02/15/2024

None

Grant

47.070

1

4900

4900

2419070

{'FirstName': 'Deniz', 'LastName': 'Gurkan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Deniz Gurkan', 'EmailAddress': 'dgurkan@kent.edu', 'NSF_ID': '000486896', 'StartDate': '02/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Kent State University', 'CityName': 'KENT', 'ZipCode': '442420001', 'PhoneNumber': '3306722070', 'StreetAddress': '1500 HORNING RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '14', 'CONGRESS_DISTRICT_ORG': 'OH14', 'ORG_UEI_NUM': 'KXNVA7JCC5K6', 'ORG_LGL_BUS_NAME': 'KENT STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Kent State University', 'CityName': 'KENT', 'StateCode': 'OH', 'ZipCode': '442420001', 'StreetAddress': '1500 HORNING RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '14', 'CONGRESS_DISTRICT_PERF': 'OH14'}

{'Code': '2890', 'Text': 'CISE Research Resources'}

2023~24887

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419070.xml'}

I-Corps: Translation potential of thermal management systems for retrofit applications and electric vehicles batteries

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 the development of a thermal management system capable of reducing the energy inefficiencies of low-to-middle-income U.S. multifamily households that were built before the 2009 Institute of Electrical and Electronics Engineers (IEEC) Energy Codes were implemented. In order to accomplish this goal while remaining consistent with objectives to reduce carbon emissions by 50% by 2035, improvements will need to be made in building new housing and retrofitting existing housing. With the new technologies, this effort will prove beneficial to disadvantaged populations who experience disproportionate energy burdens associated, urban heat islands, and extreme hot and cold weather.&lt;br/&gt;&lt;br/&gt;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 an enclosure or envelope thermal management system. The system is unique because decentralized energy management and can reduce thermal energy use intensity in both small and large enclosure systems while balancing out the hot spots, cold spots, and uneven temperature distributions. Such uneven temperature distributions contribute to poor energy efficiency. This effort represents a departure from existing approaches for enclosure thermal management, which often relies on passive insulation materials and a centralized refrigerant-based heating and cooling system. The team is developing a minimally invasive, large area transactive cooling, heating, and energy storage technology that combines Peltier cooling and heating with thermal energy storage and low-power temperature sensing to create a thermal management system capable of reducing heating and cooling loads by ~20-30%.&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.

04/01/2024

04/01/2024

None

Grant

47.084

1

4900

4900

2419076

{'FirstName': 'Lars', 'LastName': 'Junghans', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lars Junghans', 'EmailAddress': 'junghans@umich.edu', 'NSF_ID': '000647285', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

{'Code': '8023', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419076.xml'}

Travel: NSF Student Travel Grant for 2024 IEEE Symposium on Security and Privacy (IEEE S&amp;P 2024)

NSF

04/01/2024

03/31/2025

{'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': 'Dan Cosley', 'PO_EMAI': 'dcosley@nsf.gov', 'PO_PHON': '7032928832'}

The IEEE Symposium on Security and Privacy (IEEE S&amp;P) is recognized as a premier platform for showcasing advancements in computer security and electronic privacy. This award will support student travel to the 45th edition of this conference, to be held May 20-23, 2024 in San Francisco. Funding this travel will allow these students to showcase their research and receive feedback from experts in the field, as well as engage with those experts across a wide range of security and privacy topics. &lt;br/&gt;&lt;br/&gt;This grant will provide travel support to about 20 students who otherwise have limited travel funding and so might not be able to attend. Criteria for selection include evidence of a serious interest in the field, as demonstrated by coursework and/or project experience. The organizers will also encourage participation of women and students from other under-represented groups, supporting students from a wide range of institutions.&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.

02/15/2024

02/15/2024

None

Grant

47.070

1

4900

4900

2419095

{'FirstName': 'Thang', 'LastName': 'Hoang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thang Hoang', 'EmailAddress': 'thanghoang@vt.edu', 'NSF_ID': '000831158', 'StartDate': '02/15/2024', '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': '240611050', 'StreetAddress': '620 Drillfield Drive', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

{'Code': '8060', 'Text': 'Secure &Trustworthy Cyberspace'}

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419095.xml'}

I-Corps: Translation Potential of a Semiautonomous Control System for Wheelchair-mounted Assistive Robots

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of wheelchair-mounted assistive robots with a semi-autonomous control system. Currently, powered wheelchair users who face challenges due to limited or no upper limb functions rely on manual assistance from caregivers, basic assistive devices, such as reachers, and/or joystick-controlled assistive robots. While these solutions provide some function, they fail to provide the desired level of independence and often lack technological sophistication. This technology is designed to assist with performing essential activities of daily living such as eating, manipulating objects, and opening or closing doors semi-autonomously. The technology may address critical personal and societal needs by empowering individuals with mobility impairments, providing an intuitive and precise user experience, and thereby improving their quality of life and reducing dependence on caregivers. In addition, it may be possible to use the semi-autonomous control system in other robotic applications.<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 a semi-autonomous control system for wheelchair-mounted assistive robots. This technology uses advanced vision control and image processing, including depth cameras, to provide real-time environmental data on an easy-to-use touchscreen. This integration enhances spatial awareness and interaction capabilities. In addition, the system includes integration of natural language processing, enabling intuitive and precise operation that surpasses the performance of existing technologies. This solution allows for semi-automatic control of assistive robots, helping with daily tasks like eating, reaching objects, and opening or closing doors. The technology may help to address crucial needs by empowering individuals with mobility impairments to lead more independent lives.<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.

06/17/2024

06/17/2024

None

Grant

47.084

1

4900

4900

2419096

{'FirstName': 'Mohammad', 'LastName': 'Rahman', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mohammad H Rahman', 'EmailAddress': 'rahmanmh@uwm.edu', 'NSF_ID': '000718834', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Wisconsin-Milwaukee', 'CityName': 'MILWAUKEE', 'ZipCode': '532113188', 'PhoneNumber': '4142294853', 'StreetAddress': '3203 N DOWNER AVE # 273', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'WI04', 'ORG_UEI_NUM': 'JBQ9M3PLFDP5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Wisconsin-Milwaukee', 'CityName': 'MILWAUKEE', 'StateCode': 'WI', 'ZipCode': '532113188', 'StreetAddress': '3203 N DOWNER AVE # 273', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'WI04'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419096.xml'}

Direct Calculation of Activation Energies and Entropies for Chemical Dynamics

NSF

06/01/2024

05/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Ryan Jorn', 'PO_EMAI': 'rjorn@nsf.gov', 'PO_PHON': '7032924514'}

With support from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry, Professor Ward Thompson of the University of Kansas is supported by an award to develop and apply methods for determining how changes in temperature and pressure affect the rates of dynamical processes important in chemistry. These studies are working toward improved approaches to gaining mechanistic insight into chemical transformations by probing the effects of pressure and temperature. These methods will be applied to better understand diverse systems, including liquid water from its boiling point down to supercooled conditions, aqueous solutions of electrolytes and osmolytes, and hydrogen-bonded supramolecular assemblies. The goal is to provide new insight into the driving forces of the dynamical processes in these systems by revealing the energetic and entropic barriers and enabling more intuitive and global descriptions of their behavior. The Thompson group will generate computer codes, to be made publicly available, that will make it easier for other researchers to use these methods.<br/><br/>Under this award, the Thompson group will develop and apply theoretical methods for directly calculating activation energies and entropies for dynamical processes important in chemistry. These approaches seek to enable (i) global descriptions of dynamical timescales as a function of temperature and pressure; (ii) accelerated calculations by exploiting the connection between activation energies and timescales as a function of system energy; and (iii) rigorous, direct calculation of the activation entropy with new molecular-level insight. These approaches are based on evaluating derivatives with respect to temperature (or pressure) of the time correlation functions from which dynamical timescales, such as rate constants or diffusion coefficients, can be obtained. These derivatives are themselves time correlation functions and can be evaluated straightforwardly from the same molecular dynamics simulations. In this way, an activation energy, volume, or entropy that is normally obtained from calculations at multiple temperatures through an Arrhenius analysis can be determined from simulations at a single temperature or pressure. A key advantage is that this approach enables a rigorous decomposition of the activation energy or entropy into contributions from the interactions and motions present in the system, providing otherwise unavailable physical insight.<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

47.049

1

4900

4900

2419107

{'FirstName': 'Ward', 'LastName': 'Thompson', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ward H Thompson', 'EmailAddress': 'wthompson@ku.edu', 'NSF_ID': '000362603', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Kansas Center for Research Inc', 'CityName': 'LAWRENCE', 'ZipCode': '660457563', 'PhoneNumber': '7858643441', 'StreetAddress': '2385 IRVING HILL RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kansas', 'StateCode': 'KS', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'KS01', 'ORG_UEI_NUM': 'SSUJB3GSH8A5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF KANSAS CENTER FOR RESEARCH INC', 'ORG_PRNT_UEI_NUM': 'SSUJB3GSH8A5'}

{'Name': 'University of Kansas Center for Research Inc', 'CityName': 'LAWRENCE', 'StateCode': 'KS', 'ZipCode': '660457552', 'StreetAddress': '2385 IRVING HILL RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kansas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'KS01'}

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

2024~470465

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419107.xml'}

The many-body problem in the age of quantum machine learning

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': 'Alexios Klironomos', 'PO_EMAI': 'aklirono@nsf.gov', 'PO_PHON': '7032924920'}

NON-TECHNICAL SUMMARY<br/>The study of exotic phases of matter of quantum origin is one of the cornerstones of modern condensed matter physics, motivating a quest for materials and models that could exhibit novel unconventional properties that can find application beyond the semiconductor paradigm. However, understanding correlated quantum systems requires dealing with a large configuration space: datasets are comprised of all possible electronic configurations and cannot be stored in the memory of the largest supercomputer. Hence, the many-body problem can be interpreted as an “extreme data science'' problem from an information processing perspective. Since the advent of high-temperature superconductivity, progress has been marked by ingenuity to overcome the computational limitations of the time. A game-changing idea consists of identifying patterns and compressing datasets in a spirit very similar to algorithms to compress images and videos. Since 2018, we have witnessed the emergence of a novel line of research now referred-to as “quantum machine learning” that uses neural networks and machine-learning algorithms to extract insightful information and represent the complex entanglement structure encoded in quantum wave-functions.<br/><br/>Due to their underlying complexity, these problems are theoretically very challenging, but amenable to numerical methods. Therefore, the focus of the research will be computational in nature and will also involve the development of new innovative algorithms based on quantum information and machine learning ideas. As a result, new tools for scientific discovery will be developed that may be applicable to other disciplines beyond condensed matter physics, including nuclear physics and quantum chemistry.<br/><br/>Beyond training and mentoring of undergraduate and graduate students, the PI will partner with institutional outreach programs to provide courses and lectures to middle- and high-school teachers, and will participate in the Bridge to Physics program that aims to empower children from Boston’s underserved communities to succeed in advanced math classes.<br/><br/><br/>TECHNICAL SUMMARY<br/>Since the advent of high-temperature superconductivity, progress has been marked by ingenuity to overcome the computational limitations imposed by hardware. This led to major developments such as quantum Monte Carlo and tensor network methods that compress data in a spirit very similar to algorithms to compress images and videos. Very recently, we have witnessed the emergence of a novel line of research now referred-to as “quantum machine learning” that uses neural networks and machine-learning algorithms to extract insightful information and represent the complex entanglement structure encoded in quantum wavefunctions. <br/><br/>This award will fund research focused on the development of novel machine-learning inspired computational methods and advancing the understanding of variational states. In particular the project involves: i) the study of ground-states of quantum many-body problems using neural networks models based on “quantum attention” inspired by those used in large language models such as ChatGPT; ii) combining ideas from quantum many-body physics, machine learning and coupled cluster theory, to develop physics inspired machine learning models; iii) using variational wave functions described in terms of bosonic degrees of freedom (Schwinger bosons) and methods developed by the PI during the previous funding cycle to study the spectra of spin liquids using variational Monte Carlo.<br/><br/>Beyond training and mentoring of undergraduate and graduate students, the PI will partner with institutional outreach programs to provide courses and lectures to middle- and high-school teachers, and will participate in the Bridge to Physics program that aims to empower children from Boston’s underserved communities to succeed in advanced math classes.<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.

05/30/2024

05/30/2024

None

Grant

47.049

1

4900

4900

2419109

{'FirstName': 'Adrian', 'LastName': 'Feiguin', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adrian E Feiguin', 'EmailAddress': 'adrianfeiguin@gmail.com', 'NSF_ID': '000532793', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': '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': '176500', 'Text': 'CONDENSED MATTER & MAT THEORY'}

2024~420000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419109.xml'}

Collaborative Research: COLLABORATIVE RET Site: Teacher POWER (Preparing Our Workforce through Electronics and Research)

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': 'Patricia Simmons', 'PO_EMAI': 'psimmons@nsf.gov', 'PO_PHON': '7032925143'}

This three-year RET Site: Teacher POWER: Preparing Our Workforce through Electronics and Research supports the current national focus on advanced Electronics Materials, Packaging and Semiconductor (EMPS) activities and research. Hosted by Wright State University (WSU), the University of Dayton (UD), and Central State University (CSU), this project engages K-12 in-service and pre-service teachers in the Southwestern Ohio region, working with them to develop the skills, knowledge, and resources needed to prepare a STEM workforce to advance EMPS industries. The three institutions (CSU is a land grant HBCU, UD is a mid-size private university and WSU is a mid-size public university) will provide resources and structured opportunities to develop as a cohort and share their research experiences with one another. Participants will be guided through a structured STEM curriculum development experience built on the TeachEngineering framework. This process, facilitated by a Curriculum Coach, will enable the teams to write inquiry-based curriculum that includes engineering concepts and practices, is aligned with nationally recognized standards, and employ research-based best practices for inclusive pedagogy. Since STEM education begins at K-12, a great deal of the preparation will fall on K-12 teachers. Participants will present their curriculum and design projects during an RET Conference and Symposium. Follow-on activities and meetings by the project team will facilitate project goals in STEM education by teachers as they work to incorporate their experiences into the classrooms.<br/><br/><br/>This three-year RET Site: Teacher POWER: Preparing Our Workforce through Electronics and Research supports the current national focus on advanced Electronics Materials, Packaging and Semiconductor (EMPS) activities and research. Initially, participants will engage in the Ohio Southwest Alliance on Semiconductors and Integrated Scalable-Manufacturing (OASiS) rapid certification program, a microcredential certificate for completing a series of hands-on learning and online educational modules focused on semiconductor technology. Participants will work under the guidance of a trained faculty research mentor and in collaboration with the undergraduate and graduate students associated with the faculty mentor’s laboratory. A significant effort will be made to align the research projects with the background and interests of the participants. CSU is a land grant HBCU, UD is a mid-size private university and WSU is a mid-size public university. Participants will have structured opportunities to develop as a cohort and share their research experiences with one another. Participants will be guided through a structured STEM curriculum development experience built on the TeachEngineering framework. A Curriculum Coach will facilitate the teams in writing inquiry-based curriculum that includes engineering concepts and practices, is aligned with nationally recognized standards, and employs research-based best practices for inclusive pedagogy. RET participants will present their curriculum and design projects during an RET Conference and Symposium. Follow-on activities and meetings by the project team will facilitate project goals in STEM education by teachers as they work to incorporate their experiences into the classrooms.<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.

06/26/2024

06/26/2024

None

Grant

47.041

1

4900

4900

2419116

[{'FirstName': 'Ahsan', 'LastName': 'Mian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ahsan Mian', 'EmailAddress': 'ahsan.mian@wright.edu', 'NSF_ID': '000351242', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Henry', 'LastName': 'Young', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Henry D Young', 'EmailAddress': 'daniel.young@wright.edu', 'NSF_ID': '000299487', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Wright State University', 'CityName': 'DAYTON', 'ZipCode': '454350002', 'PhoneNumber': '9377752425', 'StreetAddress': '3640 COLONEL GLENN HWY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'OH10', 'ORG_UEI_NUM': 'NPT2UNTNHJZ1', 'ORG_LGL_BUS_NAME': 'WRIGHT STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Wright State University', 'CityName': 'DAYTON', 'StateCode': 'OH', 'ZipCode': '454350001', 'StreetAddress': '3640 COLONEL GLENN HWY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'OH10'}

{'Code': '135900', 'Text': 'RES EXP FOR TEACHERS(RET)-SITE'}

2024~198427

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419116.xml'}

Collaborative Research: COLLABORATIVE RET Site: Teacher POWER (Preparing Our Workforce through Electronics and Research)

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': 'Patricia Simmons', 'PO_EMAI': 'psimmons@nsf.gov', 'PO_PHON': '7032925143'}

This three-year RET Site: Teacher POWER: Preparing Our Workforce through Electronics and Research supports the current national focus on advanced Electronics Materials, Packaging and Semiconductor (EMPS) activities and research. Hosted by Wright State University (WSU), the University of Dayton (UD), and Central State University (CSU), this project engages K-12 in-service and pre-service teachers in the Southwestern Ohio region, working with them to develop the skills, knowledge, and resources needed to prepare a STEM workforce to advance EMPS industries. The three institutions (CSU is a land grant HBCU, UD is a mid-size private university and WSU is a mid-size public university) will provide resources and structured opportunities to develop as a cohort and share their research experiences with one another. Participants will be guided through a structured STEM curriculum development experience built on the TeachEngineering framework. This process, facilitated by a Curriculum Coach, will enable the teams to write inquiry-based curriculum that includes engineering concepts and practices, is aligned with nationally recognized standards, and employ research-based best practices for inclusive pedagogy. Since STEM education begins at K-12, a great deal of the preparation will fall on K-12 teachers. Participants will present their curriculum and design projects during an RET Conference and Symposium. Follow-on activities and meetings by the project team will facilitate project goals in STEM education by teachers as they work to incorporate their experiences into the classrooms.<br/><br/><br/>This three-year RET Site: Teacher POWER: Preparing Our Workforce through Electronics and Research supports the current national focus on advanced Electronics Materials, Packaging and Semiconductor (EMPS) activities and research. Initially, participants will engage in the Ohio Southwest Alliance on Semiconductors and Integrated Scalable-Manufacturing (OASiS) rapid certification program, a microcredential certificate for completing a series of hands-on learning and online educational modules focused on semiconductor technology. Participants will work under the guidance of a trained faculty research mentor and in collaboration with the undergraduate and graduate students associated with the faculty mentor’s laboratory. A significant effort will be made to align the research projects with the background and interests of the participants. CSU is a land grant HBCU, UD is a mid-size private university and WSU is a mid-size public university. Participants will have structured opportunities to develop as a cohort and share their research experiences with one another. Participants will be guided through a structured STEM curriculum development experience built on the TeachEngineering framework. A Curriculum Coach will facilitate the teams in writing inquiry-based curriculum that includes engineering concepts and practices, is aligned with nationally recognized standards, and employs research-based best practices for inclusive pedagogy. RET participants will present their curriculum and design projects during an RET Conference and Symposium. Follow-on activities and meetings by the project team will facilitate project goals in STEM education by teachers as they work to incorporate their experiences into the classrooms.<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.

06/26/2024

06/26/2024

None

Grant

47.041

1

4900

4900

2419117

[{'FirstName': 'Margaret', 'LastName': 'Pinnell', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Margaret Pinnell', 'EmailAddress': 'mpinnell1@udayton.edu', 'NSF_ID': '000276924', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Swapnajit', 'LastName': 'Chakravarty', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Swapnajit Chakravarty', 'EmailAddress': 'schakravarty1@udayton.edu', 'NSF_ID': '000533982', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Dayton', 'CityName': 'DAYTON', 'ZipCode': '454690001', 'PhoneNumber': '9372292919', 'StreetAddress': '300 COLLEGE PARK AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'OH10', 'ORG_UEI_NUM': 'V62NC51F7YV1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF DAYTON', 'ORG_PRNT_UEI_NUM': 'V62NC51F7YV1'}

{'Name': 'University of Dayton', 'CityName': 'DAYTON', 'StateCode': 'OH', 'ZipCode': '454690001', 'StreetAddress': '300 COLLEGE PARK', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'OH10'}

{'Code': '135900', 'Text': 'RES EXP FOR TEACHERS(RET)-SITE'}

2024~205020

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419117.xml'}

Collaborative Research: COLLABORATIVE RET Site: Teacher POWER (Preparing Our Workforce through Electronics and Research)

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': 'Patricia Simmons', 'PO_EMAI': 'psimmons@nsf.gov', 'PO_PHON': '7032925143'}

This three-year RET Site: Teacher POWER: Preparing Our Workforce through Electronics and Research supports the current national focus on advanced Electronics Materials, Packaging and Semiconductor (EMPS) activities and research. Hosted by Wright State University (WSU), the University of Dayton (UD), and Central State University (CSU), this project engages K-12 in-service and pre-service teachers in the Southwestern Ohio region, working with them to develop the skills, knowledge, and resources needed to prepare a STEM workforce to advance EMPS industries. The three institutions (CSU is a land grant HBCU, UD is a mid-size private university and WSU is a mid-size public university) will provide resources and structured opportunities to develop as a cohort and share their research experiences with one another. Participants will be guided through a structured STEM curriculum development experience built on the TeachEngineering framework. This process, facilitated by a Curriculum Coach, will enable the teams to write inquiry-based curriculum that includes engineering concepts and practices, is aligned with nationally recognized standards, and employ research-based best practices for inclusive pedagogy. Since STEM education begins at K-12, a great deal of the preparation will fall on K-12 teachers. Participants will present their curriculum and design projects during an RET Conference and Symposium. Follow-on activities and meetings by the project team will facilitate project goals in STEM education by teachers as they work to incorporate their experiences into the classrooms.<br/><br/><br/>This three-year RET Site: Teacher POWER: Preparing Our Workforce through Electronics and Research supports the current national focus on advanced Electronics Materials, Packaging and Semiconductor (EMPS) activities and research. Initially, participants will engage in the Ohio Southwest Alliance on Semiconductors and Integrated Scalable-Manufacturing (OASiS) rapid certification program, a microcredential certificate for completing a series of hands-on learning and online educational modules focused on semiconductor technology. Participants will work under the guidance of a trained faculty research mentor and in collaboration with the undergraduate and graduate students associated with the faculty mentor’s laboratory. A significant effort will be made to align the research projects with the background and interests of the participants. CSU is a land grant HBCU, UD is a mid-size private university and WSU is a mid-size public university. Participants will have structured opportunities to develop as a cohort and share their research experiences with one another. Participants will be guided through a structured STEM curriculum development experience built on the TeachEngineering framework. A Curriculum Coach will facilitate the teams in writing inquiry-based curriculum that includes engineering concepts and practices, is aligned with nationally recognized standards, and employs research-based best practices for inclusive pedagogy. RET participants will present their curriculum and design projects during an RET Conference and Symposium. Follow-on activities and meetings by the project team will facilitate project goals in STEM education by teachers as they work to incorporate their experiences into the classrooms.<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.

06/26/2024

06/26/2024

None

Grant

47.041

1

4900

4900

2419118

[{'FirstName': 'Leanne', 'LastName': 'Petry', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Leanne Petry', 'EmailAddress': 'lpetry@centralstate.edu', 'NSF_ID': '000552425', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Mohammadreza', 'LastName': 'Hadizadeh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mohammadreza Hadizadeh', 'EmailAddress': 'mhadizadeh@centralstate.edu', 'NSF_ID': '000755222', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Central State University', 'CityName': 'WILBERFORCE', 'ZipCode': '453845800', 'PhoneNumber': '5133766011', 'StreetAddress': '1400 BRUSH ROW RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'OH10', 'ORG_UEI_NUM': 'UZUVJXMDNZY6', 'ORG_LGL_BUS_NAME': 'CENTRAL STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Central State University', 'CityName': 'WILBERFORCE', 'StateCode': 'OH', 'ZipCode': '453841004', 'StreetAddress': '1400 BRUSH ROW RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'OH10'}

{'Code': '135900', 'Text': 'RES EXP FOR TEACHERS(RET)-SITE'}

2024~195937

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419118.xml'}

EAGER: AI4OPT-AG: Advancing Quad Collaboration via Digital Agriculture and Optimization

NSF

05/01/2024

04/30/2026

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Anne Emig', 'PO_EMAI': 'aemig@nsf.gov', 'PO_PHON': '7032927241'}

The United Nations predicts a global population beyond 9 billion by 2050, requiring at least doubling current food production. However, half of our planet's habitable land is already used for agriculture with little left for new farms. As such, food productivity must increase in order to grow more food within the land we have. Controlled-environment agriculture (CEA) offers a great potential solution – in this type of indoor farming, plants grow in oxygenated, fertilizer-rich hydroponics rather than soil, allowing growers to optimize plant nutrition. Paired with the precise control of environmental conditions enabled by indoor cultivation, plants can exhibit enhanced productivity in hydroponic systems and can be cultivated at higher areal densities in vertical configurations. Further, agricultural digitization can help improve efficiency, resilience, and sustainability of commercial vertical farming by opening the door to implementation of artificial intelligence (AI) for automation, real-time monitoring and control, and exploitation of massive amounts of data, promising deeper fundamental understanding of both plant physiology and performance within an engineering context. In this project, AI4OPT-AG, established by Georgia Tech, will lead an exploratory multi-national research network with targeted institutions in Japan, Australia, and India to collaborate and accelerate innovations in digital agriculture and optimization, and bolster food security for our future.<br/><br/>High-fidelity digital-twin-based approaches to digitization, and further, in-silico optimization, remain nascent in agriculture and the life sciences more broadly. This cultivation modality presents a useful platform for the study of living, dynamic, cyber-physical systems, with the implementation of hydroponic rather than soil-based configurations enabling direct, near-instantaneous control of the plant growth environment. Two specific next-generation techniques, hyperspectral imaging and gas chromatography fingerprinting of plant signaling molecules, could unlock valuable fundamental insights into plant physiology, but generate massive datasets requiring efficient processing to generate actionable insights. Innovations in digital agriculture, particularly in the engineering and integration of artificial intelligence (AI), biofeedback, and robotics could accelerate both knowledge generation and technology development. The primary challenges associated with this approach arise from the massive quantity of data, and the heterogeneity in data modality, quality, resolution, frequency, and complexity. There is also an opportunity to hybridize modeling approaches beyond purely data-driven or first- principles- based approaches. Such a hybrid approach may improve capabilities beyond those of its individual components, with first principles based physiological models providing fundamental constraints, transparency, and a tether to ground truths, while data-driven approaches provide data augmentation, unparalleled fitting abilities, and efficient management of high dimensional data. We are developing novel approaches to manage, integrate, exploit, and optimize these disparate, and often sparse data streams to enable rapid, computationally efficient techniques to support control and optimization applications. Although robotics and automation are valuable paths towards rapid feedback and high-throughput data collection in vertical farming operations, innovations in AI are crucial to enable rapid, accurate, high-throughput, non-destructive plant status determinations as a platform for performance optimization.<br/><br/>This award is supported as part of the Quad AI-ENGAGE initiative to advance innovation through critical technologies to empower next generation agriculture.<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.

04/26/2024

04/26/2024

None

Grant

47.079

1

4900

4900

2419122

[{'FirstName': 'Pascal', 'LastName': 'Van Hentenryck', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pascal R Van Hentenryck', 'EmailAddress': 'pvh@isye.gatech.edu', 'NSF_ID': '000109104', 'StartDate': '04/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Yongsheng', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yongsheng Chen', 'EmailAddress': 'yongsheng.chen@ce.gatech.edu', 'NSF_ID': '000324563', 'StartDate': '04/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Thomas', 'LastName': 'Igou', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas K Igou', 'EmailAddress': 'thomas.igou@gatech.edu', 'NSF_ID': '000926275', 'StartDate': '04/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303186395', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~300000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419122.xml'}

Measurements and Modeling of Gas and Aerosol Products of Reactions of Monoterpenes with Hydroxyl Radicals (OH) over a Range of Oxidation Conditions

NSF

07/15/2024

06/30/2027

{'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 research will focus on the development of chemical mechanisms and models for evaluating the potential effects of atmospheric gases and particles on visibility, human health, ecosystems, and climate. Detailed studies will be conducted in environmental chambers under simulated atmospheric conditions for investigating the reactions of volatile organic compounds and the resulting products and aerosol that are formed. The mechanisms and models developed in this project can be used as modules in chemical transport models for regional and global simulations to predict the fates of organic compounds and the effects of organic gases and aerosol on atmospheric composition, visibility, the hydrologic cycle, climate, and human and environmental health.<br/><br/>The primary objectives of this project are: (1) to conduct experimental studies to achieve an improved understanding and quantitative description of the effects of molecular structure and oxidation regime on the gas- and particle-phase products of reactions of monoterpenes with hydroxyl radicals (OH); and (2) to use this information to develop reaction mechanisms and models for predicting the chemical composition, yields, and properties of secondary organic aerosol (SOA) formed over a range of atmospheric oxidation conditions.<br/><br/>This project will support the training of students in organic chemical analysis, kinetics, atmospheric chemistry, aerosol science and technology, and data analysis.<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.

06/24/2024

06/24/2024

None

Grant

47.050

1

4900

4900

2419135

{'FirstName': 'Paul', 'LastName': 'Ziemann', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul J Ziemann', 'EmailAddress': 'paul.ziemann@colorado.edu', 'NSF_ID': '000112486', 'StartDate': '06/24/2024', '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': '803090001', 'StreetAddress': '3100 MARINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

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

2024~596226

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419135.xml'}

EAGER: A Joint Research and Innovation Partnership toward Securing an AI-enabled Future in Agricultural Production and Climate Resilience

NSF

05/01/2024

04/30/2026

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Anne Emig', 'PO_EMAI': 'aemig@nsf.gov', 'PO_PHON': '7032927241'}

Sustained intensification in agricultural production to meet the caloric needs of a rapidly increasing population, and to do so while combating the impacts of climate change – are two major grand challenges in 21st century agriculture. This project creates a three-way collaboration between the<br/>AgAID Institute (one of the five NIFA-funded AI Institutes) in the US led by Washington State University (WSU), the Indian Institute of Technology-Bombay (IIT-B) and IIT-B Technology Innovation Hub (TIH) in India, and the University of Tokyo in Japan – with a vision to include Australian research networks in the longer term. We will develop collaborative research plan using AI/ML methods and frameworks to improve agricultural and climate resilience in Indian agriculture.<br/><br/>The proposed project will target two major scientific goals: 1) Build and test new AI-enabled infrastructure for in-field crop monitoring and phenotyping, with a focus on technology transfer across agricultural testbeds. 2) Develop and integrate AI-enabled soil water balance models for<br/>improved climate resilience and optimized water resource management in farms, to improve reliable estimation of soil moisture and other related soil-water balance measures at the farm scale.<br/><br/>Crop monitoring and phenotyping are key technologies in precision agriculture that play a critical role for both on-farm, real-time decision support as well as in the development of new crop varieties optimized for important traits (e.g., yield, drought resistance, disease resistance). Furthermore, developing new predictive capabilities for key variables associated with soil and water is also vital for<br/>robust agricultural decision support. This project will investigate ways to test the transfer of AI-driven sensing technologies and edge-to-cloud <br/>workflows for potential deployment in rural Indian agriculture conditions. Toward predictive AI capabilities, this project will investigate the development of data-driven models for efficient water resource management, at a regional and farm scale. Innovations are expected for both the technology side – development of scalable and affordable farm IoT technologies – and the use-inspired AI side – new data-driven machine learning models that couple scientific models with observable data toward robust real-time and site-specific decision support. The choice of problems and the proposed approach through AI have global scope and relevance to extend to other similar semi-arid geographies.<br/><br/>This project is funded as part of the Quad AI-ENGAGE initiative, a collaboration of the National Science Foundation, Commonwealth Scientific and Industrial Research Organization of Australia, Indian Council of Agricultural Research, and Japan Science and Technology Agency to advance innovation to empower next generation agriculture.<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.

04/30/2024

04/30/2024

None

Grant

47.079

1

4900

4900

2419136

[{'FirstName': 'Jordan', 'LastName': 'Jobe', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jordan Jobe', 'EmailAddress': 'jordan.jobe@wsu.edu', 'NSF_ID': '000876564', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kirti', 'LastName': 'Rajagopalan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kirti Rajagopalan', 'EmailAddress': 'kirtir@wsu.edu', 'NSF_ID': '000800709', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Paola', 'LastName': 'Pesantez', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paola G Pesantez', 'EmailAddress': 'p.pesantezcabrera@wsu.edu', 'NSF_ID': '000876567', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Lav', 'LastName': 'Khot', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lav R Khot', 'EmailAddress': 'lav.khot@wsu.edu', 'NSF_ID': '000690025', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Anantharaman', 'LastName': 'Kalyanaraman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anantharaman Kalyanaraman', 'EmailAddress': 'ananth@eecs.wsu.edu', 'NSF_ID': '000289075', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Washington State University', 'CityName': 'PULLMAN', 'ZipCode': '991640001', 'PhoneNumber': '5093359661', 'StreetAddress': '240 FRENCH ADMINISTRATION BLDG', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'WA05', 'ORG_UEI_NUM': 'XRJSGX384TD6', 'ORG_LGL_BUS_NAME': 'WASHINGTON STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Washington State University', 'CityName': 'PULLMAN', 'StateCode': 'WA', 'ZipCode': '991642752', 'StreetAddress': '355 NE Spokane Street, EME 102', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'WA05'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~300000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419136.xml'}

I-Corps: Translation Potential of Bidirectional Neural Communication for Extended Reality Technologies

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

The broader impact of this I-Corps project is the development of next-generation extended reality technologies with integrated wearable biomedical sensors. The development of wearable technology for Augmented Reality/Virtual Reality (AR/VR) headsets has the potential to change how people use and embrace these technologies. By creating a controller platform that relies on user feedback, people can interact with devices that are more user-friendly. Additionally, the ability of these devices to detect materials can allow users to interact with virtual objects using natural hand gestures. By improving the understanding of and response to human actions, these devices will make the AR/VR experience more immersive and enjoyable. Overall, this advancement brings the users closer to seamlessly blending the real and virtual worlds, potentially making these technologies more accessible and beneficial.&lt;br/&gt;&lt;br/&gt;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 cost-effective, waterproof sensor made from carbon for Augmented Reality/Virtual Reality (AR/VR) headsets. This sensor will gather data on eye movements (electrooculography - EOG), muscle activity (electromyography - EMG), and brainwaves (electroencephalography - EEG), allowing for the precise prediction of human emotions and responses. The new wearable technology for AR/VR headsets introduces a versatile sensing platform to enable two-way neural communication between users and devices. Its soft, flexible design minimizes motion for accurate data collection, while carbon-based electrodes help maintain a high signal-to-noise ratio. Simultaneously, a piezoelectric sensor detects hand gestures and materials, dynamically enhancing user interaction. This advancement integrates seamlessly with headsets, offering a cost-effective, scalable, and waterproof solution. Drawing from neuroscience, materials science, and artificial intelligence, this interdisciplinary approach expands the possibilities of wearable technology, promising an enhanced user experiences in AR/VR environments.&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.

04/01/2024

04/01/2024

None

Grant

47.084

1

4900

4900

2419142

{'FirstName': 'Huanyu', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Huanyu Cheng', 'EmailAddress': 'huc24@psu.edu', 'NSF_ID': '000702097', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'StateCode': 'PA', 'ZipCode': '168021503', 'StreetAddress': '201 OLD MAIN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'PA15'}

{'Code': '8023', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419142.xml'}

Collaborative Research: Phenobase: Community, infrastructure, and data for global-scale analyses of plant phenology

NSF

10/01/2023

08/31/2025

{'Value': 'Continuing Grant'}

{'Code': '08080000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DBI', 'LongName': 'Div Of Biological Infrastructure'}}

{'SignBlockName': 'Reed Beaman', 'PO_EMAI': 'rsbeaman@nsf.gov', 'PO_PHON': '7032927163'}

Plant phenology – the timing of plant life-cycle events, such as leaf growth, flowering, and fruiting – plays a fundamental role in shaping terrestrial ecosystems. The timing of plant phenology not only affects the fitness of individual plants, it also impacts the fitness and behaviors of organisms dependent on plants, which in terrestrial ecosystems includes nearly all animals, either directly or indirectly. Thus, changes in plant phenology can trigger dramatic, and sometimes devastating, consequences for ecosystems and human economic interests and health. Plant phenological data are therefore indispensable for understanding ecosystem function, detecting ecosystem changes, and predicting the impacts of ongoing climate and land use changes. Given the importance of plant phenology, continuing local, regional and national data collection efforts have generated large volumes of phenological data. However, these data are surprisingly heterogeneous, difficult to integrate, and thus remain largely inaccessible for broader research. At the same time, community science and specimen digitization infrastructure have produced massive, rapidly expanding collections of herbarium specimens and in situ plant photographs, which contain a wealth of virtually untapped historical and contemporary phenological information. This project will use machine learning approaches to extract phenological data from plant photographs and digitized specimens. These data will then be integrated with phenological monitoring resources to create an open access, global plant phenology database – Phenobase. During this project, one postdoctoral researcher and several graduate and undergraduate students will be trained in programming and data science skills. <br/><br/>The goal of this project is to support community needs for generating and delivering high-precision, harmonized and semantically integrated plant phenological data at unprecedented taxonomic, geographic, and temporal scales, along with new tools to help scientists and the public engage with these data. To achieve this goal, this project will develop a global, standardized knowledge base by integrating different phenology observation networks around the world; expand this knowledge base by using computer vision (CV) techniques to generate new, high-quality phenological data from the rapidly growing collection of community-submitted plant photographs on iNaturalist and Budburst; add critical historical data by using similar CV techniques on herbarium specimens available through iDigBio and GBIF; develop tools for data query, access, and visualization delivered via the Web and as software packages; and foster compelling, community-driven use cases showcasing the use of Phenobase for new research and for public good. These approaches will not only meet current growth in imaging, but scale to meet continuing, exponential growth into the future. By weaving together phenologically relevant outputs from monitoring projects from around the globe, including the efforts of millions of community scientists, Phenobase will support and empower phenological research that is currently impossible. Results derived from this project can be found at http://plantphenology.org/.<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.

06/21/2024

06/21/2024

None

Grant

47.074

1

4900

4900

2419155

{'FirstName': 'Carrie', 'LastName': 'Seltzer', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carrie E Seltzer', 'EmailAddress': 'cseltzer@calacademy.org', 'NSF_ID': '000849305', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'INATURALIST', 'CityName': 'SAN RAFAEL', 'ZipCode': '949012906', 'PhoneNumber': '4153206269', 'StreetAddress': '1020 B ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CA02', 'ORG_UEI_NUM': 'HSL8JC97HHX8', 'ORG_LGL_BUS_NAME': 'INATURALIST', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'INATURALIST', 'CityName': 'SAN RAFAEL', 'StateCode': 'CA', 'ZipCode': '949012906', 'StreetAddress': '1020 B ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CA02'}

{'Code': '168Y00', 'Text': 'Capacity: Cyberinfrastructure'}

['2022~12656', '2023~61962']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419155.xml'}

Conference: Conference on New Developments in Probability

NSF

06/15/2024

08/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Elizabeth Wilmer', 'PO_EMAI': 'ewilmer@nsf.gov', 'PO_PHON': '7032927021'}

This award provides support for US-based researchers to attend the Conference on New Developments in Probability (CNDP) at the Centre de Recherches Mathématiques (CRM) at Université de Montréal September 26-28, 2024. This meeting is the third CNDP, a conference series jointly organized with Women in Probability. This conference has two main goals. The first is to bring together leading experts, researchers, and scholars to explore the latest advancements in the field of probability theory and to share cutting-edge research. The second goal is to provide a platform for early career researchers in probability theory to present their work in an environment which cultivates collaboration. Probability is the backbone of many mathematical disciplines, providing the language and tools for reasoning about uncertain outcomes and making predictions based on available information, with applications in diverse fields of science, engineering, and economics. Over the years, this area has witnessed remarkable growth, with novel methodologies, techniques, and applications that transform our understanding of uncertainty and randomness. The conference is expected to have a lasting impact on the academic community of researchers in probability theory, and to foster a collaborative environment that encourages the exchange of ideas and knowledge among experts.<br/><br/>The 2024 Conference on New Developments in Probability seeks to highlight recent breakthroughs in the field of probability, in particular, advancements in the areas of stochastic processes and random matrices, interacting particle systems, statistical inference and machine learning, random graphs and networks, high-dimensional probability, and stochastic analysis. This meeting will contribute to advancing the field of probability through diverse perspectives and innovative ideas, fostering the exchange of ideas and opportunities for collaboration. The conference will feature research presentations from speakers representing a range of career stages. This includes short talks by early career participants (postdocs and graduate students) who will receive advising and feedback on delivering research presentations, providing them with invaluable networking opportunities and mentorship experiences. There will be emphasis on both theoretical foundations and practical applications, leading to new research directions and interdisciplinary collaborations. The CNDP also seeks to highlight the contributions of researchers from underrepresented groups in probability, increasing their visibility within the academic community, which will lead to more opportunities for collaborations, grants, and academic positions, ultimately empowering them to progress in their careers. More details can be found at the conference website http://womeninprobability.org/CNDP.html<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

47.049

1

4900

4900

2419167

[{'FirstName': 'Jing', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jing Wang', 'EmailAddress': 'jingwang@purdue.edu', 'NSF_ID': '000703534', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Tai', 'LastName': 'Melcher', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tai A Melcher', 'EmailAddress': 'melcher@virginia.edu', 'NSF_ID': '000241579', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'ZipCode': '229034833', 'PhoneNumber': '4349244270', 'StreetAddress': '1001 EMMET ST N', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'VA05', 'ORG_UEI_NUM': 'JJG6HU8PA4S5', 'ORG_LGL_BUS_NAME': 'RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'StateCode': 'VA', 'ZipCode': '229034833', 'StreetAddress': '1001 EMMET ST N', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'VA05'}

{'Code': '126300', 'Text': 'PROBABILITY'}

2024~43766

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419167.xml'}

FW-HTF-P: Augmenting First Responders' Cognitive Performance for Responses to Electric Vehicle Emergencies

NSF

11/01/2023

09/30/2024

{'Value': 'Standard Grant'}

{'Code': '04040000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}

{'SignBlockName': 'Betty Tuller', 'PO_EMAI': 'btuller@nsf.gov', 'PO_PHON': '7032927238'}

The wide adoption of electric vehicles (EVs) provides significant benefits to society, including a cleaner environment, lower running costs, reduced noise pollution, and reduced carbon emissions. However, the adoption of EVs also brings challenges to the existing civil infrastructure system. For example, EV fires burn hotter, longer, and take more resources to extinguish than fires involving vehicles with traditional combustion engines. The first responders’ current work standards, training protocols, and training methods related to EV emergencies are dangerously outdated. In this project development award, an interdisciplinary team of researchers and multiple public agency partners will define and test the feasibility of an immersive and intuitive training platform that would augment first responders’ decision making when responding to EV-related fires. The knowledge generated from this study will provide valuable information to the first responder communities and help EV automakers design “responder friendly” EV systems. &lt;br/&gt;&lt;br/&gt;The objective of this Future of Work at the Human-Technology Frontier (FW-HTF) planning research project is to test the feasibility of the immersive training platform’s framework for future EV-related emergency responses. There are three major objectives: 1) To conduct a nationwide survey followed by focus group meetings to understand existing EV-related emergency response workflows; 2) To design and develop the framework of the immersive training platform that can augment first responders’ cognitive performance; and 3) To share the initial findings with researchers and other stakeholders to test the viability of the proposed training framework and formulate a detailed roadmap for future work.&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

2419185

{'FirstName': 'Yangming', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yangming Shi', 'EmailAddress': 'yangming.shi@mines.edu', 'NSF_ID': '000861781', 'StartDate': '01/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Colorado School of Mines', 'CityName': 'GOLDEN', 'ZipCode': '804011887', 'PhoneNumber': '3032733000', 'StreetAddress': '1500 ILLINOIS ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'CO07', 'ORG_UEI_NUM': 'JW2NGMP4NMA3', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE COLORADO SCHOOL OF MINES', 'ORG_PRNT_UEI_NUM': 'JW2NGMP4NMA3'}

{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

{'Code': '103Y', 'Text': 'FW-HTF Futr Wrk Hum-Tech Frntr'}

2022~76961

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419185.xml'}

EAGER: Trustworthy and Ethical AI Tutors with First-Principles/Axiomatic Reasoning

NSF

05/15/2024

10/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Dominique Dagenais', 'PO_EMAI': 'ddagenai@nsf.gov', 'PO_PHON': '7032922980'}

This project aims to develop an Artificial Intelligence (AI) or Large Language Model (LLM) -powered conversational system to serve as a digital tutoring system in the domain of quantum information science and engineering (QISE). In contrast to the trend of larger and larger LLMs as in ChatGPT that reason by association, the proposed "Automated Interpretable Reasoning" for QISE (“AIR.QISE”) will reason by deduction to minimize the change of “confidently wrong” responses (hallucination) in tutoring and curriculum support in QISE. The AIR.QISE will serve as a virtual tutor for students to understand the underlying concepts of quantum networks, irrespective of classroom access to top-tier educational institutions. AIR.QISE will have the capability for deductive reasoning and explaining how it arrived at a conclusion, rather than serve merely as an information retrieval tool. This will encourage students to develop critical thinking, rather than rely on rote learning. The code developed as part of this proposal will be open source, as opposed to the black-box approach of commercial products. An open access and community driven approach will help AIR.QISE generate current and bias-free educational content, since the code can be scrutinized by anyone on the internet. This will be instrumental in developing a workforce equipped with up-to-date knowledge of the latest advances in quantum network science. <br/><br/>Technical Description<br/>With an initial focus on the domain of quantum networks, AIR.QISE will be based on a QISE-specific knowledge base, computational reasoning algorithms including the LEAN automated theorem proving tool, and interactive simulations based on tools such as QuTip. This EAGER program would support a proof of concept demonstration of AIR.QISE to investigate integrating these techniques with state of the art natural language processing and knowledge representation in a conversational AI framework. A successful program would impact QISE research as well as education and outreach through on-demand quality tutoring. Based on our recent work, we believe that we will be able to push the hallucination rate to near-zero thanks to its construction on numerical “self-simulation” by Sympy, Qutip, and other tools. The proposed knowledge base will moreover enable the system to produce verifiable answers, derived from numerical computation, in response to plain-english queries. <br/>The intellectual merit of AIR.QISE lies in its use of numerical tools to act as a trustworthy tutor capable of (a) first-principles reasoning and (b) provide explanations grounded in fundamental truths. The AIR.QISE framework will incorporate (a) large language model for query interpretation (b) a knowledge database for organized knowledge access and (c) a reinforcement learning module that iteratively refines the system's decision-making capabilities. The LLM will interpret the query and map it to the knowledge database, allowing it to select the most appropriate software tool for the problem statement, allowing AIR.QUISE to provide concrete examples and validate inferences by applying computational logic and numerical simulations. AIR.QISE will address the challenge of “AI hallucination” by self-verification and admitting when it cannot arrive at an answer. In comparison, standalone LLMs reason by association and are prone to hallucination.<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.

04/29/2024

04/29/2024

None

Grant

47.049

1

4900

4900

2419204

{'FirstName': 'Dirk', 'LastName': 'Englund', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dirk R Englund', 'EmailAddress': 'englund@mit.edu', 'NSF_ID': '000550729', 'StartDate': '04/29/2024', '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': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}

2024~270000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419204.xml'}

Conference: Support for U.S. Participants at the 18th International Congress on Catalysis

NSF

03/01/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Robert McCabe', 'PO_EMAI': 'rmccabe@nsf.gov', 'PO_PHON': '7032924826'}

The project will provide support for graduate student participation in the 18th International Congress on Catalysis (ICC) to be held in Lyon, France, July 14-19, 2024. Specifically, the funding will partially cover registration and travel expenses of approximately 20 U.S. academic Ph.D and postdoctoral students to attend the Congress and facilitate their interactions with the international catalysis community. The critical importance of catalysis is reflected by the fact that 25-30% of all manufactured goods in the United States involve catalysis in their process chemistry. The students will present their research at the conference, attend lectures by leaders in the field, and interact with fellow students from around the world. Proceedings of the ICC will be published openly on the web and will constitute a significant part of the archival literature on catalysis.&lt;br/&gt;&lt;br/&gt;The ICC meeting is the largest global meeting dedicated to catalysis, and is held once every four years. The Congress was last held in the United States in 1996. The goal of the 18th ICC is to provide a vision for future catalysis research as guided by the past but focused on challenges that lie ahead. The program will highlight recent developments, challenges, and opportunities in the context of critical shifts from fossil-fuel based energy and feedstocks to sustainable energy and renewable feedstocks as needed to address carbon emissions and related climate impacts. To that end, explosive developments are occurring in the field related to analytical tools, catalyst synthesis, experimental techniques, computational methods spanning molecular to process scales, and advances in data science. The scientific program will include plenary and keynote lectures, invited and contributed papers, and poster presentations covering all of those aspects. Furthermore, the International Congress is a rare opportunity for U.S. students to interact with fellow students and premier researchers from across the world at the most prestigious conference the catalysis community has to offer. This will significantly assist with maintaining U.S. research competitiveness, while also inspiring students to tackle grand challenges related to catalytic processes. Catalysis is an enabling technology for a broad range of scientific and engineering impact areas related to environmental pollution control, sustainability, energy, and net-zero-carbon chemical manufacturing. Student training and engagement in these areas ensures a future cohort of catalytic researchers well-positioned to make continued advances to science and engineering that will serve the needs of the Nation and the global community for years to come.&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.

03/25/2024

03/25/2024

None

Grant

47.041

1

4900

4900

2419211

{'FirstName': 'Eranda', 'LastName': 'Nikolla', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eranda Nikolla', 'EmailAddress': 'erandan@umich.edu', 'NSF_ID': '000612970', 'StartDate': '03/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

{'Code': '1401', 'Text': 'Catalysis'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419211.xml'}

RET Site: for Sustainable Polymer Engineering Research

NSF

05/01/2024

04/30/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Patricia Simmons', 'PO_EMAI': 'psimmons@nsf.gov', 'PO_PHON': '7032925143'}

This three-year renewal RET Site for Sustainable Polymer Engineering Research is hosted by the University of Southern Mississippi. This research has direct impacts on key economic drivers in the State of Mississippi, notably agriculture, manufacturing, and marine/coastal activities, and high relevance to students and their families. Ten local community college instructors and high school teachers will engage in state-of-the-art polymer engineering research for a 6-week summer research experience. Working in pairs with polymer science and engineering faculty, participants will focus on fundamental research to address challenges of meeting global societal needs while also sustaining natural resources and environmental health. Teachers will develop research-based classroom activities for implementation in their schools. Teachers will be recruited from schools with populations representative of the state, to enhance impact on underserved populations. Participants will share the results of their research and curriculum development through journal publications, presentations at scientific and education conferences, an annual workshop at the Mississippi Science Teachers Association, publication in TeachEngineering, and the RET website. A week-long workshop for middle school teachers will be implemented to broaden the reach of the program to younger students.<br/><br/>This three-year renewal RET Site for Sustainable Polymer Engineering Research is hosted by the University of Southern Mississippi. The RET Site will immerse high school and community college teachers in sustainable materials engineering research in state-of-the-art facilities. The research objectives are to develop sustainable approaches to materials development to meet critical societal needs. Ten teachers each year will be engaged in fundamental materials research efforts that span the complex, interdisciplinary facets of materials sustainability. Participants will gain knowledge and experience with using tools to assess the environmental impacts of new materials development. Research themes address important challenges in the state and region, including understanding the effects of plastic pollution in the Gulf of Mexico, synthesis of polymers from renewable feedstocks, design of materials for recyclability and degradability, and preparation of membranes for carbon capture and sequestration. RET participants will be directly involved in experiments, data collection, and analysis, and will have opportunities to present and publish their findings. Research based curricular modules and activities aligned with state and national standards will be developed, implemented in the classroom, and published for broad access.<br/><br/>This project is jointly funded by the EEC REU and the Established Program to Stimulate Competitive Research (EPSCOR).<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.

06/17/2024

06/17/2024

None

Grant

47.041

1

4900

4900

2419224

[{'FirstName': 'SARAH', 'LastName': 'MORGAN', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'SARAH E MORGAN', 'EmailAddress': 'Sarah.Morgan@usm.edu', 'NSF_ID': '000275108', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Heather', 'LastName': 'Broadhead', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Heather Broadhead', 'EmailAddress': 'heather.broadhead@usm.edu', 'NSF_ID': '000780331', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Southern Mississippi', 'CityName': 'HATTIESBURG', 'ZipCode': '394060001', 'PhoneNumber': '6012664119', 'StreetAddress': '118 COLLEGE DRIVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Mississippi', 'StateCode': 'MS', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MS04', 'ORG_UEI_NUM': 'M1K8LJAET5R1', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF SOUTHERN MISSISSIPPI', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Southern Mississippi', 'CityName': 'HATTIESBURG', 'StateCode': 'MS', 'ZipCode': '394060001', 'StreetAddress': '118 COLLEGE DRIVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Mississippi', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MS04'}

{'Code': '138500', 'Text': 'SSA-Special Studies & Analysis'}

2024~600000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419224.xml'}

RET Site: Berkeley Engineering Research Experiences for Teachers - Artificial Intelligence Resources for a Cleaner Environment (BERET-AIRE)

NSF

12/01/2024

11/30/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Patricia Simmons', 'PO_EMAI': 'psimmons@nsf.gov', 'PO_PHON': '7032925143'}

The three-year renewal REU Site: Berkeley Engineering Research Experiences for Teachers focused on Artificial Intelligence Resources for a Cleaner Environment (BERETAIRE) is hosted by the University of California-Berkeley. Teams of undergraduate STEM majors, high school teachers and community college educators will collaborate to uncover, understand, and utilize AI for environmental-related research. The power of Artificial Intelligence (AI) to change the way we interact with the world is visible around us every day. This includes routine internet searches for information, teaching and learning in elementary through graduate school settings, and basic and applied research at the frontiers of discovery across all disciplinary fields. This project immerses science and math teachers from local high schools and community colleges in a variety of mechanical, civil and environmental engineering laboratories using AI tools. BERETAIRE will recruit science and math teachers from schools with historically underrepresented and low-income students in the San Francisco area. Participants will educate, prepare, and encourage their high school and community college students to pursue STEM majors and careers. <br/> <br/>The three-year REU Site: Berkeley Engineering Research Experiences for Teachers focused on Artificial Intelligence Resources for a Cleaner Environment (BERETAIRE) is hosted by the University of California-Berkeley. This project focuses on research to uncover, understand, and utilize artificial intelligence (AI) resources for environmental sustainability research studies in a variety of engineering laboratories. BERET-AIRE will establish teams of pre-service teachers enrolled in the UC Berkeley CalTeach secondary teacher education program, in-service high school and community college teachers serving predominantly underrepresented students in the San Francisco Bay Area. These participants will develop essential research and computational skills using AI resources to complete engineering research projects. One area where AI is particularly powerful is finding features and connections in datasets that cannot be determined utilizing traditional approaches. This can lead to a wide variety of beneficial uses, from enhanced voice recognition and caption generation to benefit the hearing impaired, to discovering new medicine compounds. Teacher teams will also participate in a sequence of summer and academic-year professional development activities that support them to translate their research into classroom instruction. Each RET participant will develop curricula that connects current research to high school and community college science and math learning.<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.

06/20/2024

06/20/2024

None

Grant

47.041

1

4900

4900

2419242

[{'FirstName': 'Elisa', 'LastName': 'Stone', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elisa M Stone', 'EmailAddress': 'emstone@berkeley.edu', 'NSF_ID': '000579835', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Simo', 'LastName': 'Makiharju', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Simo A Makiharju', 'EmailAddress': 'makiharju@berkeley.edu', 'NSF_ID': '000753359', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of California-Berkeley', 'CityName': 'BERKELEY', 'ZipCode': '947101749', 'PhoneNumber': '5106433891', 'StreetAddress': '1608 4TH ST STE 201', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'CA12', 'ORG_UEI_NUM': 'GS3YEVSS12N6', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Berkeley', 'CityName': 'BERKELEY', 'StateCode': 'CA', 'ZipCode': '947101749', 'StreetAddress': '1608 4TH ST STE 201', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'CA12'}

{'Code': '135900', 'Text': 'RES EXP FOR TEACHERS(RET)-SITE'}

2024~599855

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419242.xml'}

RET Site: Engineering for People and the Planet: Research Experiences for Teaching Integrated STEM

NSF

06/01/2024

05/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Patricia Simmons', 'PO_EMAI': 'psimmons@nsf.gov', 'PO_PHON': '7032925143'}

This renewal Research Experiences for Teachers (RET) Site: Engineering for People and the Planet: Research Experiences for Teaching Integrated STEM is hosted by the Worcester Polytechnic Institute (WPI). The RET site focuses on the United Nations Sustainable Development Goals for an integrated approach of learning and doing science, math, and engineering through real-world problems that focus on people and the planet. A pre-service teacher and a local in-service teacher will conduct summer research for six weeks. Participants will work with a faculty mentor on topics such as healthy lives, quality education, clean energy, responsible consumption, and climate action. The teachers will participate in professional development workshops to translate their research experience into lesson plans and classroom activities, as well as present their work to broader audiences. This project will impact many high school science, tech/engineering, and math (STEM) teachers and high school students in underserved districts with populations that are racially and ethnically diverse. By building the capacity for strong STEM educators in our region, we can provide relevant STEM learning opportunities that engage students to develop real-world problem-solving skills and help prepare the next generation of scientists and engineers.<br/><br/>This renewal Research Experiences for Teachers (RET) Site: Engineering for People and the Planet: Research Experiences for Teaching Integrated STEM is hosted by the Worcester Polytechnic Institute (WPI). The objectives are to: 1) Provide authentic research experiences in labs focusing on Engineering problem-solving and research that is centered on People and the Planet (U.N. Sustainable Develop Goals); 2) Deliver high-quality professional development for the teachers to create an “Integrated STEM” lesson plan based on their research experiences, implement their lessons with their students, and share the lesson plan to broader audiences; 3) Increase participants’ confidence and knowledge about how engineering benefits people; and 4) Foster a community of educators for mentoring and support among the pre-service teachers, area in-service teachers, WPI faculty and graduate students, industry partners, and the STEM Education Center. Four pre-service teachers and four local in-service high school teachers from high needs schools will be paired with WPI faculty for six weeks. Research topics may include: 1) genetically engineering a plasmid to study antibiotic resistance, 2) brain sensing for personalized learning environments, 3) photocatalysts for treatment of contaminated water and production of clean energy, 4) water-based technology for plastic recycling, and 5) continuous manufacturing for cleaner pharmaceutical engineering. Participants will have weekly workshops to guide their research projects as they learn research techniques and culminate in a public RET Poster Symposium.<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.

06/20/2024

06/20/2024

None

Grant

47.041

1

4900

4900

2419292

[{'FirstName': 'Katherine', 'LastName': 'Chen', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Katherine C Chen', 'EmailAddress': 'kcchen@wpi.edu', 'NSF_ID': '000323135', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Erin', 'LastName': 'Solovey', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Erin Solovey', 'EmailAddress': 'esolovey@wpi.edu', 'NSF_ID': '000674903', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Worcester Polytechnic Institute', 'CityName': 'WORCESTER', 'ZipCode': '016092247', 'PhoneNumber': '5088315000', 'StreetAddress': '100 INSTITUTE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'HJNQME41NBU4', 'ORG_LGL_BUS_NAME': 'WORCESTER POLYTECHNIC INSTITUTE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Worcester Polytechnic Institute', 'CityName': 'WORCESTER', 'StateCode': 'MA', 'ZipCode': '016092247', 'StreetAddress': '100 INSTITUTE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}

{'Code': '135900', 'Text': 'RES EXP FOR TEACHERS(RET)-SITE'}

2024~599919

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419292.xml'}

Student Support for 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM); Boston, Massachusetts; 15-18 July 2024

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Yue Wang', 'PO_EMAI': 'yuewang@nsf.gov', 'PO_PHON': '7032924588'}

This grant provides funding to support a Student Travel Program for the 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) in Boston, Massachusetts, on 15-18 July 2024. The IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) is a flagship conference of IEEE/ASME Transactions on Mechatronics (TMECH). The AIM brings together an international community of experts to discuss the state of the art for new research results, perspectives of future developments, and innovative applications relevant to mechatronics, robotics, control, automation, and related areas. AIM 2024 will feature presentations of contributed and invited papers, recent publications on IEEE transactions of Mechatronics, tutorial sessions, as well as plenary and semi-plenary sessions and workshops. The conference provides a unique opportunity for students to interact with members of the professional community in a stimulating setting and to exchange ideas with a broad group of colleagues. The large number of workshops and tutorial sessions during the conference and the interactive format of many of the presentations will allow additional opportunity for student training and learning.<br/><br/>The AIM 2024 conference covers a broad range of topics, mirroring the varied applications of control and systems technology in intelligent mechatronic systems, from analysis and design through simulation and hardware and software implementation. Mechatronics technology has played a critical role in the development of many contemporary infrastructures affecting everyday life. Today, mechatronics engineering techniques are central in the design, operation, and security of cyber-physical systems, where they can inform users about ways to operate large networks (e.g., energy, communications, computer, traffic) and to make them robust to deliberate and accidental disturbances. The grant for the Student Travel Support Program will contribute to broadening participation and promoting inclusivity at the AIM 2024 Conference and the research society in general.<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.

06/04/2024

06/04/2024

None

Grant

47.041

1

4900

4900

2419294

{'FirstName': 'Yan', 'LastName': 'Wan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yan Wan', 'EmailAddress': 'yan.wan@uta.edu', 'NSF_ID': '000553070', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas at Arlington', 'CityName': 'ARLINGTON', 'ZipCode': '760199800', 'PhoneNumber': '8172722105', 'StreetAddress': '701 S NEDDERMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'LMLUKUPJJ9N3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT ARLINGTON', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Arlington', 'CityName': 'ARLINGTON', 'StateCode': 'TX', 'ZipCode': '760199800', 'StreetAddress': '701 S. NEDDERMAN DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'TX25'}

{'Code': '756900', 'Text': 'Dynamics, Control and System D'}

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419294.xml'}

Conference: An AmeriMech Symposium on Fracture of Soft Materials; Austin, Texas; 12-16 May 2024

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': 'Lucy T. Zhang', 'PO_EMAI': 'luzhang@nsf.gov', 'PO_PHON': '7032925016'}

This grant provides participant support for 25 students to attend AmeriMech Symposium on Fracture of Soft Materials. The symposium will be held at the AT&amp;T Hotel and Conference Center, University of Texas at Austin; 12-16 May 2024. Soft materials, such as elastomers and hydrogels, are key components in a wide range of applications, including stretchable electronics, soft robotics, tissue engineering, and biomedical devices.&lt;br/&gt;&lt;br/&gt;This symposium will broaden the participation of young researchers in the field as well as researchers from groups that are underrepresented in the sciences and engineering. The other important aspect is to promote cross-disciplinary interactions between mechanics and chemistry, spanning a broad scope of research subjects. This symposium will help assess the state-of-the-art and chart new directions for the future. The AmeriMech Symposium aims to bring together leading active researchers in the field, from around the world and across disciplinary boundaries, to foster close interactions and exchanges of forward-looking research ideas.&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

1

4900

4900

2419299

{'FirstName': 'Rui', 'LastName': 'Huang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rui Huang', 'EmailAddress': 'ruihuang@mail.utexas.edu', 'NSF_ID': '000190178', 'StartDate': '03/21/2024', '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': '1630', 'Text': 'Mechanics of Materials and Str'}

2024~5000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419299.xml'}

Conference: 2024 Protein Processing, Trafficking and Secretion GRC/GRS

NSF

03/01/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Loretta Jackson-Hayes', 'PO_EMAI': 'lojackso@nsf.gov', 'PO_PHON': '7032924286'}

This award supports the Protein Processing, Trafficking, and Secretion Gordon Research Conference (GRC), a seminal event held for the 15th time at Colby-Sawyer College from July 14-19, 2024, alongside the preceding Gordon Research Seminar (GRS) organized by graduate students and postdoctoral fellows on July 13-14, 2024, at the same venue. Beyond showcasing the latest discoveries in the field, these gatherings serve as crucial platforms for professional growth, nurturing the next generation of scientists, and driving societal impact through advancements in science. In addition to traditional presentations, the meetings foster interactive dialogue, providing attendees with invaluable opportunities for professional development and collaboration. From daily lunches with esteemed speakers to informal sessions with Nobel Laureates, participants engage in vibrant exchanges, transcending career stages to collectively explore new frontiers and address pressing technical and conceptual barriers.&lt;br/&gt;&lt;br/&gt;This combined GRC/GRS on Protein Processing, Trafficking, and Secretion has evolved since its inception in 1994. Originally centered on hormonal and neuropeptide biosynthesis, it now stands as a unique convergence for researchers delving into the intricate mechanisms orchestrating protein and membrane trafficking within cells, and their influence on cellular functions pivotal for health and development. The program, underscored by a multidisciplinary approach spanning biology, chemistry, computer science, engineering, mathematics, and physics, is uniquely positioned to advance mechanistic understanding across molecular, subcellular, and cellular realms. By spotlighting cutting-edge technologies and fostering interdisciplinary discourse, the conference catalyzes innovative solutions to longstanding challenges at the intersection of cell biology and physics. Ultimately, by unraveling the fundamental regulation and molecular underpinnings of protein trafficking and secretion, the research discussed has the potential to have transformative societal impacts in biotechnology and medicine rooted in understanding the dysregulation of these processes.&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.

02/26/2024

02/26/2024

None

Grant

47.074

1

4900

4900

2419301

[{'FirstName': 'Julia', 'LastName': 'Blume', 'PI_MID_INIT': 'v', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia v Blume', 'EmailAddress': 'julia.vonblume@yale.edu', 'NSF_ID': '000992578', 'StartDate': '02/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mondira', 'LastName': 'Kundu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mondira Kundu', 'EmailAddress': 'Mondira.Kundu@stjude.org', 'NSF_ID': '000990652', 'StartDate': '02/26/2024', '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': '1114', 'Text': 'Cellular Dynamics and Function'}

2024~15000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419301.xml'}

Elucidating mechanisms of biological hydrogen conversion through model metalloenzymes

NSF

04/01/2024

09/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Christine Chow', 'PO_EMAI': 'cchow@nsf.gov', 'PO_PHON': '7032924555'}

With the support of the Chemistry of Life Processes Program in the Chemistry Division, Professor Hannah Shafaat of The Ohio State University will investigate the factors that govern the activity of nickel-containing enzymes. Reductive nickel enzymes are critical in the metabolic processes of diverse microorganisms and perform valuable reactions such as hydrogen production, carbon dioxide reduction, and methane oxidation. These efficient, complex enzymes operate with high rates and full reversibility but have yet to be accurately reproduced in synthetic systems, leaving many questions unanswered. To better understand native nickel enzymes and learn how to harness this understanding for anthropogenic processes, the Shafaat group will model the nickel-iron hydrogenases using a robust, protein-based scaffold. The proposed studies on the engineered enzymes are aimed at the elucidation of the reaction mechanisms along with the identification of the key factors along the entire protein contributing to catalysis. The research provides insight into how natural enzymes function across a range of length- and timescales. Graduate, undergraduate, and high-school students, including those from underserved communities, will be trained in state-of-the-art research techniques spanning biological, inorganic, physical, and analytical chemistry. This award also supports the development of lectures and hands-on exercises to train members of the broader bioinorganic community who attend the internationally recognized, biennial Penn State Bioinorganic Workshop. This project will be integrated with outreach programs spanning multiple age groups in greater Central Ohio. <br/><br/>This project seeks to address critical knowledge gaps about the naturally occurring nickel-iron hydrogenases and related nickel-thiolate enzymes through the development and characterization of a model hydrogenase enzyme, namely nickel-substituted rubredoxin (NiRd). Prior work supported by the NSF in the Shafaat group has established that NiRd is a functional mimic of hydrogenase that exhibits high rates for hydrogen evolution. In the proposed work, spectroscopic techniques, including electron paramagnetic resonance, nuclear magnetic resonance, resonance Raman, and X-ray absorption, coupled with electrochemical methods, will be employed to obtain high-resolution mechanistic information and to reveal molecular-level contributors to hydrogen evolution activity. These studies will provide detailed insight into the layers of control exerted by the protein scaffold in both model and native metalloenzymes. The goals of the work are to identify correlations between enzymatic structure and function and to advance our understanding of biological hydrogen conversion. The research seeks also to identify design principles for highly active artificial metalloenzymes, with long-term implications for the development of sustainable catalysts for small molecule activation reactions.<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.

04/11/2024

04/11/2024

None

Grant

47.049

1

4900

4900

2419343

{'FirstName': 'Hannah', 'LastName': 'Shafaat', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hannah S Shafaat', 'EmailAddress': 'shafaat@ucla.edu', 'NSF_ID': '000675212', 'StartDate': '04/11/2024', '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': '900951569', 'StreetAddress': '607 Charles E. Young Dr. East, 2077C Young Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'CA36'}

{'Code': '688300', 'Text': 'Chemistry of Life Processes'}

2021~280990

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419343.xml'}

SBIR Phase I: Universal Crystal Growth Capsule and Novel Wafer Dicing Tool for In-Space Manufacturing

NSF

03/15/2024

08/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anna Brady', 'PO_EMAI': 'abrady@nsf.gov', 'PO_PHON': '7032927077'}

The broader impact and commercial potential of this Small Business Innovation Research (SBIR) project is in advanced semiconductor technologies that are of critical need for emerging autonomous systems, networked sensing technologies, artificial intelligence enabled systems, aerospace, and defense surveillance systems. In-Space manufacturing under microgravity conditions enable unique materials characteristics and advanced semiconductor device designs with significantly higher performances, thus providing the most appropriate platform for meeting the technological and market demands. A novel class of semiconductor based composite materials with unique characteristics for numerous large scale emerging applications including, magnetic sensing, thermoelectrics, photovoltaic power generation, quantum computing devices, etc. will be developed. The proposed manufacturing plans will benefit the US national defense and civilian industry. The In-Space manufacturing platform will boost the yield and reliability for high performance device technologies, meeting the demand of the multi-billion US$ market. Lessons learnt from this project will accelerate the space materials production with potentially higher profit margins for sold goods and attract private sector investments in space manufacturing business. This will help the US domestic industry to gain and/or maintain leadership in many critical technology sectors. There is a need for higher throughput, higher iteration in-space R&amp;D and manufacturing to drive to meaningful advantages, and this project will enable an acceleration of such translational R&amp;D in semiconductors and other key sectors. Additionally, Workforce Development (WFD) for training engineers and technicians in Space based manufacturing are in perfect alignment with the priorities of the “CHIPS for America” Workforce Development plans.&lt;br/&gt;&lt;br/&gt;This SBIR Phase I project proposes to create innovative component design and manufacturing approaches for developing two critical hardware necessary for In-space manufacturing and application of high purity semiconductor grade bulk crystals. A universal crystal growth capsule design will be designed and fabricated for leveraging microgravity conditions during crystal growth and providing high throughput of space grown materials. For processing high cost, low defect content premium space grown crystals, a novel wafer dicing tool for damage-free thin film fabrication directly from ingots will be developed. The universal capsule design will incorporate advanced high temperature fluid dynamics components that are necessary for maximizing the beneficial effects of microgravity on crystal growth. The innovative wafer dicing tool architecture leverages advanced optics fabrication technologies for creating the dicing tool. The Phase 1 project will demonstrate crystal growth of single-phase alloy and multi-phase composites of semiconductor-based materials. Fabrication of micron-scale thick wafers with millimeter scale cross-section for discrete semiconductor device from bulk crystals will be demonstrated.&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.

03/04/2024

03/04/2024

None

Grant

47.084

1

4900

4900

2419346

{'FirstName': 'Partha', 'LastName': 'Dutta', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Partha S Dutta', 'EmailAddress': 'duttap23@gmail.com', 'NSF_ID': '000995174', 'StartDate': '03/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'United Semiconductors, LLC', 'CityName': 'LOS ALAMITOS', 'ZipCode': '907202572', 'PhoneNumber': '5183486111', 'StreetAddress': '10571 CALLE LEE', 'StreetAddress2': 'STE 171', 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '45', 'CONGRESS_DISTRICT_ORG': 'CA45', 'ORG_UEI_NUM': 'KMH6FCH19UE6', 'ORG_LGL_BUS_NAME': 'UNITED SEMICONDUCTORS, LLC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'United Semiconductors, LLC', 'CityName': 'LOS ALAMITOS', 'StateCode': 'CA', 'ZipCode': '907202572', 'StreetAddress': '10571 CALLE LEE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '45', 'CONGRESS_DISTRICT_PERF': 'CA45'}

{'Code': '5371', 'Text': 'SBIR Phase I'}

2024~275000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419346.xml'}

Conference: Workshop on Computational and Applied Enumerative Geometry

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'James Matthew Douglass', 'PO_EMAI': 'mdouglas@nsf.gov', 'PO_PHON': '7032922467'}

The "Workshop on Computational and Applied Enumerative Geometry" will be held June 3 to June 7, 2024 at the Fields Institute in Toronto, ON, Canada. Enumerative geometry is the study of a particular class of mathematical problems, called enumerative problems, which are fundamental to STEM fields including mathematics, particle physics, robotics, and computer vision. The main goal of this workshop is to unite experts working on problems related to enumerative geometry to increase dialogue between theory and application. There will be several talks on state-of-the-art research in computational and applied enumerative geometry, software demonstrations, and time to discuss open problems. The exchange of ideas will inform experts as they continue devising computational investigations of enumerative problems going forward. The grant supports the participation of fifteen US-based participants in the workshops. <br/><br/>Classically, an enumerative problem asks how many geometric objects have a prescribed position with respect to other fixed geometric objects. Famous examples include the problems of (a) 2 lines meeting four lines, (b) 27 lines on a cubic surface, and (c) 3264 conics tangent to five conics in the plane. A modern definition of an enumerative problem is a system of polynomial equations in variables and parameters with finitely many solutions given fixed generic parameters. Counting solutions to such a problem is the tip of the iceberg. Beyond enumeration lie questions of symmetries, solvability, real behavior, and computation. Techniques from a broad range of disciplines lend themselves to the creation of algorithms and software designed to answer these questions. "Computational Enumerative Geometry" refers to this approach of using computers to solve, experiment with, and prove theorems about, enumerative problems. The workshop website is http://www.fields.utoronto.ca/activities/23-24/enumerative-geometry.<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.

05/14/2024

05/14/2024

None

Grant

47.049

1

4900

4900

2419363

[{'FirstName': 'Luis', 'LastName': 'Garcia Puente', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Luis D Garcia Puente', 'EmailAddress': 'lgarciapuente@coloradocollege.edu', 'NSF_ID': '000525219', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Nickolas', 'LastName': 'Hein', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nickolas J Hein', 'EmailAddress': 'nhein@benedictine.edu', 'NSF_ID': '000699464', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Taylor', 'LastName': 'Brysiewicz', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Taylor Brysiewicz', 'EmailAddress': 'tbrysiew@uwo.ca', 'NSF_ID': '000879148', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Colorado College', 'CityName': 'COLORADO SPRINGS', 'ZipCode': '809033243', 'PhoneNumber': '7193896318', 'StreetAddress': '14 E CACHE LA POUDRE ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'CO05', 'ORG_UEI_NUM': 'VADVPKVXRVW3', 'ORG_LGL_BUS_NAME': 'THE COLORADO COLLEGE', 'ORG_PRNT_UEI_NUM': 'NTWAFAJ1JDX6'}

{'Name': 'Colorado College', 'CityName': 'COLORADO SPRINGS', 'StateCode': 'CO', 'ZipCode': '809033243', 'StreetAddress': '14 E CACHE LA POUDRE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'CO05'}

{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}

2024~22500

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419363.xml'}

Attosecond and Strong Field Physics in Correlated Multielectron System

NSF

02/15/2024

08/31/2024

{'Value': 'Standard Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Julio Gea-Banacloche', 'PO_EMAI': 'jgeabana@nsf.gov', 'PO_PHON': '7032927924'}

The astonishing advances in the generation of attosecond light pulses, and the availability of high-intensity lasers in the near-infrared region, have opened up a field of new possibilities in the study of the real-time electron dynamics in complex systems. One of the goals of attosecond and strong-field physics is to access fundamental information on electronic motion in its natural time scale and be able to control charge migration in molecules, e.g., to select a specific bond breaking at a molecular site, or to trigger a chemical reaction. The main objective of the project is to develop a new, efficient, and versatile numerical method to support the experimental and theoretical study of the interaction of multi-electron systems with ultra-short and intense laser pulses. This work aims at contributing to the development of attochemistry and ultimately bridge the gap between attosecond physics and biology. In addition, as connecting experimental measurements to real-time meaningful physical observables has shown to be far from simple, new methods will be investigated to track the rapid dynamics of photoelectron emitted from different valence shells in molecules, as well as during tunnel ionization in intense laser fields. <br/><br/>With attosecond physics becoming among the most thriving fields of science, new theoretical tools are needed to support the exploration of attosecond phenomena in complex systems. ATTOMESA, a new numerical method for ultrafast physics, will be designed to treat various multiphoton processes investigated with current experimental setups, and to study unexplored aspects of driven multielectron attosecond and strong field dynamics in atoms and molecules. The formalism used in ATTOMESA includes electron correlation and exchange, as well as inter-channel coupling. It is based on a hybrid quadrature approach, where a quantum-chemistry description using Gaussian-type orbitals is used in the short-range to mid-range electron-molecule interaction region, while finite-element discretized variable representation functions complement the description at larger electronic radius, resulting in a highly efficient parallel ab initio method able to treat strong field processes in molecules. Consequently, processes such as high-harmonic generation and frustrated tunnel ionization can be handled fully ab initio. In this work, the following physical processes will be treated with ATTOMESA; photoionization time delay near a Cooper minimum and between different valence shells using a new spectroscopic method, estimation of electronic coherence in a biomolecule after sudden photoionization, and finally assessing the role of electron correlation in streaking/attoclock experiments. Finally, Bohmian mechanics will be employed as a useful tool to interpret strong-field phenomena in atoms.<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.

02/13/2024

02/13/2024

None

Grant

47.049

1

4900

4900

2419382

{'FirstName': 'Nicolas', 'LastName': 'Douguet', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicolas Douguet', 'EmailAddress': 'nicolas.douguet@ucf.edu', 'NSF_ID': '000814461', 'StartDate': '02/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'The University of Central Florida Board of Trustees', 'CityName': 'ORLANDO', 'ZipCode': '328168005', 'PhoneNumber': '4078230387', 'StreetAddress': '4000 CENTRAL FLORIDA BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'FL10', 'ORG_UEI_NUM': 'RD7MXJV7DKT9', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF CENTRAL FLORIDA BOARD OF TRUSTEES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'The University of Central Florida Board of Trustees', 'CityName': 'ORLANDO', 'StateCode': 'FL', 'ZipCode': '328168005', 'StreetAddress': '4000 CENTRAL FLORIDA BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'FL10'}

{'Code': '128400', 'Text': 'AMO Theory/Atomic, Molecular &'}

2020~44851

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419382.xml'}

Understanding Architecture Hierarchy of Polymer Networks to Control Mechanical Responses

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Tomislav Pintauer', 'PO_EMAI': 'tompinta@nsf.gov', 'PO_PHON': '7032927168'}

With the support of the Polymers program in the Division of Materials Research, the University at Alabama-Birmingham (UAB) research team is developing polymeric networks with finely tuned architectures and precisely controlled physical properties, such as mechanical behavior along with hydrogel swelling and surface morphology. Materials architecture would be essential for their applications in sensing, drug delivery, and tissue engineering. However, the preparation of nanothin hydrogels with complex hierarchical structures has yet to be explored. The goal of the proposed study will be to understand the effects of architecture hierarchy in thin nanostructured hydrogels for controlling hydrogel mechanical responses. This project will bring new insights into the interplay between internal network arrangement and rigidity as a novel and intriguing research area. This knowledge will result in the development of more diverse and robust polymeric structures capable of elastic change on demand, which would vastly broaden our capabilities to control biological responses and mimic biological tissues. The educational and outreach activities of this project will enhance science participation of women and underrepresented groups in undergraduate and graduate research. The project will also aim to increase public awareness of polymer networks and engagement with science through knowledge dissemination at the Birmingham Science Center. The education and outreach efforts will provide awareness of UAB biomedical research community toward a need for new polymer-based materials and contribute to the economic competitiveness of the USA in this field. &lt;br/&gt;&lt;br/&gt;This project will explore the internal architecture- and architecture hierarchy-regulated rigidity of thin hydrogel coatings. The coatings will be obtained as multilayer hydrogels using sequential adsorption of polymers at surfaces. The following aims will be pursued: (a) understanding the effect of molecular weight of a non-sacrificial polymer on multilayer hydrogel stratification and mechanical properties; (b) investigating the effect of multilayer crosslinking on hydrogel stratification and mechanical properties; and (c) understanding the role of polymer chain hydrophobicity on multilayer hydrogel stratification. The main fundamental significance of the proposed study will be in obtaining new insights into the structure-property relationships between nanostructured multilayer networks and their stimuli-responsive and mechanical properties. This research will impact the development of a new type of polymer hydrogel with architecture hierarchy-regulated rigidity and will provide a fundamental understanding of the physicochemical properties of these materials. The specific impact of the proposed study will be in (i) developing novel copolymers and new types of planar hydrogels with controlled internal architecture hierarchy, (ii) generating new knowledge on the effect of architecture hierarchy on dimensional changes and mechanical responses of the stratified hydrogels; and (iii) opening new prospects for developing hydrogel structures as self-transformable materials for controlled drug delivery, and in rigidity-directed transport in microfluidic environments.&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

2419386

{'FirstName': 'Richard', 'LastName': 'Dluhy', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Richard A Dluhy', 'EmailAddress': 'rdluhy@uab.edu', 'NSF_ID': '000189916', 'StartDate': '03/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Alabama at Birmingham', 'CityName': 'BIRMINGHAM', 'ZipCode': '352940001', 'PhoneNumber': '2059345266', 'StreetAddress': '701 S 20TH STREET', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AL07', 'ORG_UEI_NUM': 'YND4PLMC9AN7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ALABAMA AT BIRMINGHAM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Alabama at Birmingham', 'CityName': 'BIRMINGHAM', 'StateCode': 'AL', 'ZipCode': '352940001', 'StreetAddress': '701 S 20TH STREET', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AL07'}

{'Code': '1773', 'Text': 'POLYMERS'}

2024~500000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419386.xml'}

Family-level antecedents of the development of “theory of mind” and narrative comprehension in early childhood.

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '04040000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}

{'SignBlockName': 'Anna V. Fisher', 'PO_EMAI': 'avfisher@nsf.gov', 'PO_PHON': '7032928451'}

The ability to understand other people’s thoughts and feelings (commonly referred to as theory of mind) is related to narrative comprehension during the preschool years because children need to understand characters’ mental states to understand the meaning of a story. Little research has explored what predicts how these two skills develop together. This project examines two family-level factors, the home literacy environment and the mental state talk parents use when reading to children, that might explain how theory of mind and narrative comprehension co-develop during early childhood. Both skills are important for school readiness because theory of mind predicts socially competent interactions with peers, and narrative comprehension predicts later reading comprehension. Thus, understanding the predictors of theory of mind and narrative comprehension, and how they are reinforced by the same early environmental supports (such as parent-child talk about mental states), is key to developing approaches to promote these skills. <br/><br/>The research plan for this project includes testing preschoolers at three time points, each six months apart, using longitudinal three-way cross-lag panel design. At the first time point, the research team gathers information on the home literacy environment (such as how frequently parents read to children and the mental state language parents use when reading to children). At each time point, the research team tests preschoolers’ theory of mind and narrative comprehension skills. The study includes additional assessments to control for the possibility that other variables (including socioeconomic status and children’s vocabulary size) contribute to the observed relations between the key variables of interest. The research plan includes recruitment of families that are diverse with respect to race, ethnicity, and socioeconomic status. The study design allows the research team to test a novel framework that highlights shared developmental antecedents of theory of mind and narrative comprehension 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.

06/26/2024

06/26/2024

None

Grant

47.075

1

4900

4900

2419389

[{'FirstName': 'Derek', 'LastName': 'Montgomery', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Derek Montgomery', 'EmailAddress': 'montg@fsmail.bradley.edu', 'NSF_ID': '000969369', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Rebecca', 'LastName': 'Dore', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rebecca Dore', 'EmailAddress': 'dore.13@osu.edu', 'NSF_ID': '000799682', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Xin', 'LastName': 'Feng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xin Feng', 'EmailAddress': 'feng.88@osu.edu', 'NSF_ID': '000690951', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Virginia', 'LastName': 'Tompkins', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Virginia Tompkins', 'EmailAddress': 'tompkins.73@osu.edu', 'NSF_ID': '000878482', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '169800', 'Text': 'DS -Developmental Sciences'}

2024~649851

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419389.xml'}

New Physics in Artificial Spin Ice via Materials Innovation

NSF

02/15/2024

07/31/2027

{'Value': 'Continuing 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/>Magnetic materials are extremely important technologically, and magnets that have size scale in the range of nanometers are especially important in a range of applications, such as hard disk drives. The fundamental physics of such tiny “nanomagnets” is also exciting, because collections of them show behavior that cannot be observed in any other physical system and can be controlled very precisely. Collections of these nanomagnets in certain carefully designed arrays are called “artificial spin ice” because they share some underlying physics with water molecules in ice. This research program studies such artificial spin ice composed of carefully chosen materials that result in a wide range of unusual behavior that would otherwise be inaccessible and could have significant technological implications once explored and understood. While the vast majority of prior research in this area uses only simple magnetic materials, this work will introduce more exotic materials to access specific, unusual, and potentially useful physics. Aside from connections to possible technologies, the research will also contribute substantially to the education of both undergraduate and graduate students, and the research efforts will inform the investigators’ work on behalf of the larger research ecosystem in the nation.<br/><br/>Technical Abstract <br/><br/>The research program will significantly expand the physics that can be probed in artificial spin ice by fabricating arrays from strategically chosen, innovative ferromagnetic materials through a collaboration between two investigators with highly complementary expertise, in materials fabrication and characterization, and magnetic measurements. The research will focus on three thrusts: 1. New artificial spin ice physics enabled by magnetic moments that point out of the plane of the structures, exploring cooperative phenomena that are inaccessible with in-plane moments. 2. Artificial spin ice behavior and superparamagnetism in the regime of strongly-temperature-dependent magnetization. 3. Emergent materials-induced electronic transport phenomena through networks of connected artificial spin ice. The research findings may have technological relevance in new computing paradigms and in magnonics. Undergraduate and graduate student researchers will be deeply involved in the research efforts and will gain a range of skills to advance their professional development. Both investigators will also leverage their involvement in various activities to further support the national research community.<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.

02/09/2024

02/09/2024

None

Grant

47.049

1

4900

4900

2419407

{'FirstName': 'Peter', 'LastName': 'Schiffer', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter Schiffer', 'EmailAddress': 'pschiffer@princeton.edu', 'NSF_ID': '000307828', 'StartDate': '02/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'ZipCode': '085442001', 'PhoneNumber': '6092583090', 'StreetAddress': '1 NASSAU HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'NJ1YPQXQG7U5', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF PRINCETON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'StateCode': 'NJ', 'ZipCode': '085442001', 'StreetAddress': '1 NASSAU HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NJ12'}

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

2023~389786

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419407.xml'}

Collaborative Research: Design Decisions under Competition at the Edge of Bounded Rationality: Quantification, Models, and Experiments

NSF

01/01/2024

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': 'Kathryn Jablokow', 'PO_EMAI': 'kjabloko@nsf.gov', 'PO_PHON': '7032927933'}

The objective of this project is to investigate the impact of information uncertainty on design rationality under competition among teams and to develop a competition-aware artificial intelligence (AI) assistant for design space exploration and exploitation. Communication issues have been broadly recognized as a critical factor that impacts design outcomes in team decisions, because the information shared during communication can be incomplete and imperfect. Therefore, addressing such issues by understanding the role of information uncertainty on human design decisions in teams could lead to better coordination of team decisions, advancement in human-AI collaborations, and significant cost savings in large-scale engineering design projects. However, despite the significant progress in modeling design decision-making in teams, current literature neglects two fundamental aspects of the design process: human designers have bounded rationality, and most design activities happen under competition, whether consciously or unconsciously. This project is motivated to fill this gap by developing theoretical and experimental constructs to computationally model human designers’ sequential decisions in a competitive environment and to experimentally measure their bounded rationality. The expected outcome is a suite of new knowledge, including metrics, models, algorithms, and testbeds, on human behavior in design teams under competition in the presence of uncertainties. Broader impacts will be generated by directly engaging diverse undergraduate students in research activities through the Freshman Introduction to Research in Engineering (FIRE) program at the University of Texas at Austin and the Pinnacle and Clark Scholars programs at Stevens Institute of Technology.<br/><br/>This project is driven by answering two research questions: 1) what are the effects of information uncertainty (e.g., when design information shared between team members is incomplete) on design rationality under competition among teams? 2) How would such effects differ across a wider range of team sizes? To answer the two questions, an interdisciplinary research approach is planned that combines descriptive, prescriptive, and predictive analytics. In particular, we will develop game theoretic models to model sequential design decisions under competition, synergistically integrating two types of sequential learning models, i.e., theory-driven prescriptive models (e.g., Bayesian optimization) and data-driven predictive models (e.g., long-short term memory units). The new approach explicitly models designers’ perceptions of their opponents’ past performance and predicts the opponent’s future decisions, thereby providing a quantitative way to study the influence of uncertain information shared among designers in a team on their decisions in competition against other teams. Experiments will be conducted to collect behavioral data to study how human irrationality, benchmarking on rational behaviors predicted by the theoretical models, would change over time during the course of the design competition. The research findings will be validated in a real-world design challenge on solar system design, where multiple teams compete for awards. To benefit a broader research community, this project will build an open design infrastructure to share the project data and findings.<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.

03/11/2024

03/11/2024

None

Grant

47.041

1

4900

4900

2419423

{'FirstName': 'Alparslan', 'LastName': 'Bayrak', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alparslan E Bayrak', 'EmailAddress': 'bayrak@lehigh.edu', 'NSF_ID': '000798814', 'StartDate': '03/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Lehigh University', 'CityName': 'BETHLEHEM', 'ZipCode': '180153008', 'PhoneNumber': '6107583021', 'StreetAddress': '526 BRODHEAD AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'PA07', 'ORG_UEI_NUM': 'E13MDBKHLDB5', 'ORG_LGL_BUS_NAME': 'LEHIGH UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Lehigh University', 'CityName': 'BETHLEHEM', 'StateCode': 'PA', 'ZipCode': '180153008', 'StreetAddress': '526 BRODHEAD AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'PA07'}

{'Code': '072Y00', 'Text': 'EDSE-Engineering Design and Sy'}

2023~193750

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419423.xml'}

Oceanographic Instrumentation Program Proposal University of Hawaii R/V Kilo Moana

NSF

06/15/2024

05/31/2026

{'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'}

The R/V Kilo Moana is a 186-foot, general-purpose research vessel built in 2002 and operated by the University of Hawaii under a charter party agreement with the Office of Naval Research (ONR). The vessel is part of the U.S. Academic Research Fleet (ARF) and is supported by the University-National Oceanographic Laboratory System (UNOLS). Ship time is made available to academic researchers funded by the NSF, ONR, NOAA, NASA, and other federal and state agencies. This award provides funds for the purchase of instrumentation in support of the vessel's mission and its obligations to the scientific community and UNOLS. The request is for: (1) an All-In-One Weather Station identical to the one installed on the vessel to be used as a spare and as a replacement during calibration / servicing of the original station; (2) two ultra-low temperature freezers for storing oceanographic water and biological samples after collection and prior to analysis; and (3) radiometers to replace existing obsolete sensors.<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.

06/10/2024

06/10/2024

None

Grant

47.050

1

4900

4900

2419426

{'FirstName': 'Anita', 'LastName': 'Lopez', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anita L Lopez', 'EmailAddress': 'drvo@soest.hawaii.edu', 'NSF_ID': '000792366', 'StartDate': '06/10/2024', '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': 'University of Hawaii', 'CityName': 'HONOLULU', 'StateCode': 'HI', 'ZipCode': '968174572', 'StreetAddress': '965 N. Nimitz Hwy', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Hawaii', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'HI01'}

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

2024~54028

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419426.xml'}

Conference: Proposed Workshop on CPS Rising Stars

NSF

03/15/2024

02/28/2025

{'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': 'David Corman', 'PO_EMAI': 'dcorman@nsf.gov', 'PO_PHON': '7032928754'}

This project will provide support for a “Cyber Physical Systems (CPS) Rising Stars” workshop to be held in May 2024 at the Link Lab, a center of excellence in CPS within the University of Virginia’s School of Engineering. The primary goal of the workshop is to identify and mentor outstanding Ph.D. students and recent PhD graduates who are interested in pursuing careers in CPS fields. A secondary but equally important goal of the workshop is to broaden participation in CPS by identifying CPS Rising Stars paying special attention to institutional diversity and non-traditional backgrounds in selection.&lt;br/&gt;&lt;br/&gt;The workshop provides participants with insights about navigating the early stages of CPS careers, particularly in academia. Participants also have opportunities to share their research and to network with faculty in Link Lab and peer CPS Rising Stars from across the country. By attending this workshop, participants can initiate new collaborations with researchers and gain professional mentors that can support them in their career advancement. &lt;br/&gt;&lt;br/&gt;This will be the third consecutive CPS Rising Stars Workshop hosted at the Link Lab. This year’s workshop will be modeled after the two prior successful workshops. Taken together, the three workshops are impacting CPS by building a cadre of early career researchers in CPS. CPS Rising Stars are taking impactful positions in academia, government, and industry, positively impacting not only core CPS research but also a variety of domains that apply CPS principles to challenges facing society.&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

2419442

[{'FirstName': 'Jonathan', 'LastName': 'Goodall', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jonathan L Goodall', 'EmailAddress': 'goodall@virginia.edu', 'NSF_ID': '000246080', 'StartDate': '03/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Lu', 'LastName': 'Feng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lu Feng', 'EmailAddress': 'lf9u@virginia.edu', 'NSF_ID': '000724241', 'StartDate': '03/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'ZipCode': '229034833', 'PhoneNumber': '4349244270', 'StreetAddress': '1001 EMMET ST N', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'VA05', 'ORG_UEI_NUM': 'JJG6HU8PA4S5', 'ORG_LGL_BUS_NAME': 'RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'StateCode': 'VA', 'ZipCode': '229034833', 'StreetAddress': '1001 EMMET ST N', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'VA05'}

{'Code': '7918', 'Text': 'CPS-Cyber-Physical Systems'}

2024~66200

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419442.xml'}

Conference: AIrTonomy

NSF

06/01/2024

11/30/2024

{'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': 'David Corman', 'PO_EMAI': 'dcorman@nsf.gov', 'PO_PHON': '7032928754'}

Autonomous aerial vehicles (AAVs) including drones can solve societal grand challenges such as rapid delivery of medicine and wildfire protection in a completely new way. However, a major technical challenge remains: Today’s AAVs lack the artificial intelligence (AI) needed to safely operate in real-world urban air mobility environments. In such environments, AAVs operate in proximity of urban infrastructures (e.g. buildings), at low altitude, without much regulatory oversight, and under unpredictable conditions such as unexpected weather change or additional vehicles in the field. <br/><br/>This 2-day workshop will bring together researchers working in academia, industry labs, and governmental agencies to discuss and refine uses cases and capabilities that are key elements of a research infrastructure designed to support the rapid evolution of advanced air autonomy algorithms and systems. Such an infrastructure is envisioned to enable rapid integration and testing of research community components using a cyber and physical infrastructure that can support both in-person and remote operation. An initial implementation of an AAV research infrastructure is AirTonomy located at Purdue University. The workshop will invite a diverse group of individuals including potential users from academia, representatives of industry partners as well as national, state, and regional governments. Through pre-conference activities and in-person breakout sessions, the workshop participants will identify: 1) research use cases, 2) technical requirements of a large-scale research infrastructure, and 3) concepts for sustainability. After the workshop, a report will be published online, and a task force assembling a lead user community will assist with the finalization of research infrastructure requirements and design.<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.

06/03/2024

06/03/2024

None

Grant

47.070

1

4900

4900

2419443

[{'FirstName': 'Xiaohui Carol', 'LastName': 'Song', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaohui Carol Song', 'EmailAddress': 'cxsong@purdue.edu', 'NSF_ID': '000298986', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Inseok', 'LastName': 'Hwang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Inseok Hwang', 'EmailAddress': 'ihwang@purdue.edu', 'NSF_ID': '000490016', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Sabine', 'LastName': 'Brunswicker', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sabine Brunswicker', 'EmailAddress': 'sbrunswi@purdue.edu', 'NSF_ID': '000652511', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'James', 'LastName': 'Goppert', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James M Goppert', 'EmailAddress': 'jgoppert@purdue.edu', 'NSF_ID': '000845392', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Damon', 'LastName': 'Lercel', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Damon J Lercel', 'EmailAddress': 'dlercel@purdue.edu', 'NSF_ID': '000873249', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'StateCode': 'IN', 'ZipCode': '479061332', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

[{'Code': '171400', 'Text': 'Special Projects - CNS'}, {'Code': '791800', 'Text': 'CPS-Cyber-Physical Systems'}]

2024~39930

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419443.xml'}

Conference: STEM Diversity Drivers

NSF

07/01/2024

06/30/2025

{'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': 'Martha James', 'PO_EMAI': 'mjames@nsf.gov', 'PO_PHON': '7032927772'}

The Leadership Alliance at Brown University will convene a pilot Regional Conference on STEM Mentoring entitled the "STEM Diversity Drivers Conference" in the fall of 2024 at Johns Hopkins University. This will be a two-day regional conference that convenes roughly 100 in-person and 120 virtual undergraduate and graduate faculty as well as research professionals. Regional conference institutions participating include: Howard University, Johns Hopkins University, Morgan State University, University of Maryland-Baltimore County and University of Virginia. The specific aims of the conference are to: (1) increase awareness and discuss the barriers that underrepresented groups in STEM disciplines face in the STEM enterprise; (2) elucidate varied experiences that collectively contribute to increased identity, efficacy and persistence in the STEM workforce; and, (3) create a collaborative interdisciplinary and multi-sectoral community for near-peer mentorship models. Regional communities of scholars will leverage expertise and experiences to inform novel and exportable approaches to diversify the STEM research workforce. <br/><br/>The Leadership Alliance is the recipient of the organizational Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring (PAESMEM), the nation's highest award for STEM mentoring, and has over 30 institutional members. The Louis Stokes Alliances for Minority Participation (LSAMP) program assists universities and colleges in their efforts to significantly increase the numbers of students matriculating into and successfully completing high quality degree programs in science, technology, engineering and mathematics (STEM) disciplines in order to diversify the STEM workforce and supports the production of scholarly research in STEM broadening participation. Particular emphasis is placed on transforming undergraduate STEM education through innovative, evidence-based recruitment and retention strategies, and relevant educational experiences. These strategies facilitate the production of highly competitive students motivated to pursue STEM degrees and careers in STEM. For the United States to remain globally competitive, it is vital that it taps into the talent of all its citizens and provides exceptional educational preparedness in STEM areas that underpin the knowledge-based economy.<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

47.076

1

4900

4900

2419461

[{'FirstName': 'Taiese', 'LastName': 'Bingham-Hickman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Taiese Bingham-Hickman', 'EmailAddress': 'taiese_bingham-hickman@brown.edu', 'NSF_ID': '000848840', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Damani', 'LastName': 'Piggott', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Damani A Piggott', 'EmailAddress': 'dpiggot1@jhmi.edu', 'NSF_ID': '000927601', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Lisa', 'LastName': 'Brown', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lisa D Brown', 'EmailAddress': 'lisa.brown@morgan.edu', 'NSF_ID': '000524850', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Brown University', 'CityName': 'PROVIDENCE', 'ZipCode': '029129100', 'PhoneNumber': '4018632777', 'StreetAddress': '1 PROSPECT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'RI01', 'ORG_UEI_NUM': 'E3FDXZ6TBHW3', 'ORG_LGL_BUS_NAME': 'BROWN UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'E3FDXZ6TBHW3'}

{'Name': 'Brown University', 'CityName': 'PROVIDENCE', 'StateCode': 'RI', 'ZipCode': '029129100', 'StreetAddress': 'Box 1876', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'RI01'}

{'Code': '913300', 'Text': 'Alliances-Minority Participat.'}

2024~77139

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419461.xml'}

OSIB:Mechanisms determining spatial and temporal dynamics of infectious processes for Microbotryum complex phytopathogenic fungi and host immunity

NSF

08/01/2024

07/31/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Aardra Kachroo', 'PO_EMAI': 'akachroo@nsf.gov', 'PO_PHON': '7032927826'}

Fungi are a large and diverse group of organisms, estimated to contain 2.2-3.8 million species. Although the vast majority are not associated with disease, roughly 300 fungal species are known as human pathogens, and an even greater number are plant pathogens. In both cases, such pathogens pose major risks to human health via morbidity and mortality, and potentially devastating effects on agriculture, including both livestock and crops. While several models have developed for human fungal pathogens, important understanding of the fundamental biology and mechanisms of pathogenesis have come from plant pathogenic models, especially the group known as “smuts,” which can serve as a model for study of 1) nerve development; 2) DNA repair mechanisms similar to those of the BRCA2 human gene, strongly associated with risk for breast and ovarian cancers (absent from traditional yeast models); 3) mitochondrial dysfunction; and 4) evolution of disease mechanisms, with potential to predict emerging infectious disease via host shifts. This last point is the focus of the funded research project and explores genetic differences in plants and their responses to different fungal pathogens. The work has broad implications for society, especially by providing a better understanding of why some plants are more susceptible to severe infections, while others are better able to fight off the same pathogens while displaying no or milder symptoms. Moreover, this project will expand the pool of trained scientists at all levels (undergraduate, graduate student, Postdoctoral), thereby providing the next generation(s) of individuals prepared to address new threats to human health and agricultural security.<br/><br/>The smut fungi are a large, diverse, and non-monophyletic group of plant pathogens. Among these are fungi with agricultural importance, and whose prominence has expanded due to (1) their facility of manipulation and extensive molecular genetic toolkits, or (2) their economic and international diplomatic impacts. By contrast, the Microbotryum violaceum complex of fungal plant pathogens continues to be important in ecological/population genetics/evolutionary studies and, more recently, has become a useful model of emerging infectious diseases through host shifts. Each fungal species in this complex of “anther smuts” is limited to successful infection of one or a limited number of host species in the Caryophyllaceae (Pinks). However, some Microbotryum species (e.g., on Dianthus hosts or Lychnis hosts) are more “Generalists,” having a broader range of host plant species. In this project, comparison is made between infections of host plants by specialist Microbotryum species on preferred vs. non-hosts; similar comparisons will be made with generalist Microbotryum infections on different host plants as well. Data will be collected throughout the lifecycle of the fungus/plant interaction via microscopy (Confocal fluorescence, SEM), proteomics of fungal/host protein complexes, transcriptomics, and analysis of RNA editing of fungal transcripts. Cases of blocked infection may suggest a switch to enodphytism, particularly when presence of the fungus has been confirmed in stem and flower bud stages. In such cases, co-infection of plants with better-adapted pathogenic Microbotryum species and “endophytic” Microbotryum species in the same host will test whether any protection to the host is provided by the endophyte.<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.

06/21/2024

06/21/2024

None

Grant

47.074

1

4900

4900

2419465

{'FirstName': 'Michael', 'LastName': 'Perlin', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael H Perlin', 'EmailAddress': 'mhperl01@louisville.edu', 'NSF_ID': '000468899', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Louisville Research Foundation Inc', 'CityName': 'LOUISVILLE', 'ZipCode': '402081838', 'PhoneNumber': '5028523788', 'StreetAddress': '2301 S 3RD ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kentucky', 'StateCode': 'KY', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'KY03', 'ORG_UEI_NUM': 'E1KJM4T54MK6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF LOUISVILLE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Louisville Research Foundation Inc', 'CityName': 'LOUISVILLE', 'StateCode': 'KY', 'ZipCode': '402081838', 'StreetAddress': '2301 S 3RD ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kentucky', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'KY03'}

{'Code': '047Y00', 'Text': 'Plant-Biotic Interactions'}

2024~84882

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419465.xml'}

Mechanism of Atomically Resolved Tip-Enhanced Raman Scattering Imaging

NSF

07/01/2024

06/30/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'John Papanikolas', 'PO_EMAI': 'jpapanik@nsf.gov', 'PO_PHON': '7032928173'}

With support from the Chemical Structure, Dynamics, and Mechanisms A (CSDM-A) program in the Division of Chemistry, Professor Joonhee Lee of the University of Nevada-Reno will visualize the vibrations of single molecules. To image vibrations, incident light should excite each molecule bound to the metal surface and scatter at altered frequencies carrying vibrational information. However, the wavelength of visible light is about 1,000 times greater than the atomic length scale, making most optical spectroscopy unsuitable for probing single molecules. To address this challenge, Professor Lee and his students will precisely engineer and optimize the geometry of a silver needle, which will confine light to its tip. As the tip hovers over an individual molecule, it can excite it with atomic precision and amplify the scattered light, forming vibrational images. Understanding the mechanism of vibrational imaging could lead to the precise determination of photochemical reaction coordinates, which has the potential to aid in the development of photoresists for advanced semiconductor manufacturing. Members of the Lee group supported by this project will reach out to K-12 students in rural areas of Nevada to teach optical spectroscopy labs using materials designed to introduce quantum mechanics.<br/><br/>Atomically resolved tip-enhanced Raman spectroscopy (ARTERS) developed in the Lee group will be employed to image the vibrational normal modes of pyridine and its derivatives chemisorbed on Cu single crystal surfaces. Molecules chemisorbed on the metallic surfaces pose significant challenges for understanding their vibrational images for the following reasons: 1) They have a 3-dimensional geometry due to their directional molecule-metal bonds. Consequently, the vibrational images are formed from integrated Raman scattering across multiple focal planes. 2) The molecules are no longer deemed isolated; to accurately model the system, the molecule-substrate complex must be considered. To address these challenges, the Lee group will explore the governing mechanism of vibrational imaging through a joint experimental and theoretical approach. The ongoing feedback between experiment and theory will reveal the governing mechanism in the case of chemisorbed molecules. ARTERS can initiate photochemical reactions and image the products. With a rigorous understanding of the imaging mechanism, precise identification of the products with atomistic details becomes possible. This capability can elucidate the pathways of photochemical reactions and aid in the development of new photoresists. Graduate students supported by this project will disseminate the knowledge gained through the research to K-12 students in rural areas of Nevada.<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.

06/18/2024

06/18/2024

None

Grant

47.049

1

4900

4900

2419481

{'FirstName': 'Joonhee', 'LastName': 'Lee', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joonhee Lee', 'EmailAddress': 'joonheel@unr.edu', 'NSF_ID': '000834723', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Board of Regents, NSHE, obo University of Nevada, Reno', 'CityName': 'RENO', 'ZipCode': '895570001', 'PhoneNumber': '7757844040', 'StreetAddress': '1664 N VIRGINIA ST # 285', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nevada', 'StateCode': 'NV', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NV02', 'ORG_UEI_NUM': 'WLDGTNCFFJZ3', 'ORG_LGL_BUS_NAME': 'BOARD OF REGENTS OF THE NEVADA SYSTEM OF HIGHER ED', 'ORG_PRNT_UEI_NUM': 'WLDGTNCFFJZ3'}

{'Name': 'Board of Regents, NSHE, obo University of Nevada, Reno', 'CityName': 'RENO', 'StateCode': 'NV', 'ZipCode': '895570001', 'StreetAddress': '1664 N VIRGINIA ST # 285', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nevada', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NV02'}

{'Code': '910100', 'Text': 'CSD-Chem Strcture and Dynamics'}

2024~450000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419481.xml'}

I-Corps: Translation Potential of a High Throughput Drug Discovery Platform for Protein Degraders

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'}

This I-Corps project focuses on the development of a drug discovery platform to efficiently generate a new class of pharmaceutical drugs. The technology facilitates the generation of expansive drug libraries, enabling unbiased screening of observable characteristics. Importantly, this approach eliminates the need for prior knowledge of protein targets or specific chemicals. Using this platform, researchers can explore the vast landscape of potential drugs with the flexibility to focus on specific cell lines rather than exact protein targets. In addition, the use of this screening process may remove pre-existing bias towards known protein targets that may be treated with current drugs. This platform may lead to the discovery of novel drugs and expand the understanding of their therapeutic potential.<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 high-throughput platform that enables the discovery of heterobifunctional protein degrader drugs. The platform is designed to integrate high-throughput chemistry, direct-to-biology phenotypic cytotoxicity assays, validation in secondary toxicity assays, and rapid confirmation of protein degradation using inactive drug analogs. In addition, the platform is designed to be adaptable and can be implemented into any small-molecule, high-throughput screening platform utilized by institutions involved in drug discovery. The technology may allow researchers to identify degrader drugs, a new class of pharmaceuticals, by focusing on specific cell lines rather than protein targets.<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.

03/18/2024

03/18/2024

None

Grant

47.084

1

4900

4900

2419488

{'FirstName': 'Uttam', 'LastName': 'Tambar', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Uttam K Tambar', 'EmailAddress': 'uttam.tambar@utsouthwestern.edu', 'NSF_ID': '000597630', 'StartDate': '03/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas Southwestern Medical Center', 'CityName': 'DALLAS', 'ZipCode': '753907208', 'PhoneNumber': '2146484494', 'StreetAddress': '5323 HARRY HINES BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '30', 'CONGRESS_DISTRICT_ORG': 'TX30', 'ORG_UEI_NUM': 'YZJ6DKPM4W63', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER', 'ORG_PRNT_UEI_NUM': 'X5NKD2NFF2V3'}

{'Name': 'University of Texas Southwestern Medical Center', 'CityName': 'DALLAS', 'StateCode': 'TX', 'ZipCode': '753907208', 'StreetAddress': '5323 HARRY HINES BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '30', 'CONGRESS_DISTRICT_PERF': 'TX30'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419488.xml'}

AccelNet-Design: International Networks Towards Future U.S. Urban Resilience (Resilient-NET)

NSF

10/01/2023

08/31/2024

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Kara C. Hoover', 'PO_EMAI': 'kchoover@nsf.gov', 'PO_PHON': '7032922235'}

AccelNet-Design: International Networks Towards Future U.S. Urban Resilience (Resilient-NET)&lt;br/&gt;OISE #2201467 LIU&lt;br/&gt;&lt;br/&gt;Urban resilience is a global issue that requires a global solution, but existing networks on urban resilience research are often shaped by their regional, institutional, disciplinary, and social contexts. Resilient-NET takes an integrated technical-social-climate perspective to bring together disparate disciplines and traditionally isolated networks to address the multitude of challenges faced by urban dwellers. This network integrates climate models into risk and urban logistics models, addresses reliability and logistics problems associated with supply chains, and explores coupling among climate, infrastructural and social systems. Resilient-NET catalyzes new cross-disciplinary global collaborations, synergizes complementary scientific expertise, and provides critical access to one-of-its-kind pilot projects, data, platforms, and research capabilities for U.S. researchers to make global impacts and strengthen their leadership roles on emerging challenges in building resilience into future urban socio-technical systems. Resilient-NET creates a roadmap towards future resilient urban ecosystems, to generate societal impacts on the livability and economic viability of American cities. Participating networks include world-renowned research centers on urban resilience from Asia and Europe, cross-disciplinary U.S. research communities, NSF-funded networks on Extreme Events Research, United Nations’ Habitat Program, and stakeholders from the industry sectors of IoT, Smart Cities technologies and National Labs.&lt;br/&gt;&lt;br/&gt;This collaboration identifies key research gaps and enabling capabilities in building urban resilience through an integrated technical-social-climate approach. The design activities are organized into three clusters. Cluster 1 focuses on how digital space—the skeletons of future urban cybernetic organisms—can be enhanced and used to improve future urban resilience research; Cluster 2 identifies the new types of convergence research structures needed to improve social resilience in urban environments and address coupled infrastructure and social systems; and Cluster 3 accelerates the understanding of the impacts of extreme events on future urban social-technical systems, and identify the missing capabilities that enable future resilience of dense urban environments evolving with climate change, infrastructure redevelopment, and digitization of physical infrastructure. Addressing these societally important challenges fosters convergence research from data science, logistics, social science, civil engineering, geosciences, and climatology, with a scope and magnitude beyond the capabilities of a single research community. International networks established via Resilient-NET are essential to accelerating the discovery of knowledge in this space through early access to new data and platforms currently only available from global partners and through collaborative efforts which promote knowledge, data, and best practice sharing.&lt;br/&gt;&lt;br/&gt;The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts. This project is funded by the Office of International Science and Engineering (OISE).&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.

03/20/2024

03/20/2024

None

Grant

47.079

1

4900

4900

2419490

{'FirstName': 'Xiao', 'LastName': 'Liu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiao Liu', 'EmailAddress': 'xiao.liu@isye.gatech.edu', 'NSF_ID': '000759434', 'StartDate': '03/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320315', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '069Y', 'Text': 'AccelNet - Accelerating Resear'}

2022~221643

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419490.xml'}

CAREER: Development of AlInN Nanostructures for Advanced Ultraviolet Light-Emitters

NSF

11/01/2023

06/30/2025

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Margaret Kim', 'PO_EMAI': 'sekim@nsf.gov', 'PO_PHON': '7032922967'}

Nontechnical description: This project aims to develop a new form of ultraviolet light-emitters. Through a detailed theoretical and experimental study of AlInN, this project will identify solutions for the growth of AlInN nanostructured ultraviolet light-emitters. The proposed new generation nanowire light-emitters are promising candidates in solid-state lighting sources, as part of data storage, high-speed communications, information processing, optical interconnects, optical recording sterilization/water purification, medicine and biochemistry, air purification equipment and zero emission automobiles. This research program will offer unique interdisciplinary research opportunities to students at New Jersey Institute of Technology (NJIT) to gain experience in epitaxial growth techniques, hands-on device fabrication and characterization of semiconductor devices. Located in Newark, New Jersey, NJIT has a diverse student populating with a large percentage of African-American, Hispanic and women students. This research program will provide strong opportunity to our undergraduate and graduate students. In addition, experiments related to this research program will be modified and introduced to the outreach program planned for K-12 students and teachers through the Center for Pre-college Program at NJIT. This research program encourages students from underrepresented groups, in particular women, minority candidates, veterans and individuals with disabilities to participate in developing new device applications of the III-nitride nanowire semiconductors. Furthermore, research activities will be developed throughout this CAREER program and will be introduced to students in the U.S. and globally to benefit the broader community. <br/><br/>Technical description: Significant progress has been made in the area of InGaN and AlGaN semiconductors for near ultraviolet and ultraviolet photonic devices, respectively. Nevertheless, the approach of using different III-nitride alloys for ultraviolet light-emitting diodes (LEDs) is relatively unexplored. This CAREER program will focus on fundamentals and quantitative understanding of the epitaxial growth and properties of AlxIn1-xN-based nanostructured ultraviolet LEDs operating in the wavelength range of 210 - 355nm. These nanowire ultraviolet LEDs will be grown by molecular beam epitaxy. The specific research will include: (1) design and simulation of novel nanowire LED structures and geometries; (2) fundamental investigation of the molecular beam epitaxial growth of AlInN nanowire ultraviolet LED structures; and (3) development of AlInN nanowire ultraviolet LEDs implementing unique structures. Detailed structure, optical, electrical, and reliability characterizations will be performed. This research program will enable a first demonstration of nanowire LEDs operating in the ultraviolet regime using AlInN nanostructures. The success of the proposed project will establish a foundation to develop high efficiency and high-power photonic and electronic devices that utilize the full potential of III-nitride nanostructures.<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.

04/18/2024

04/18/2024

None

Grant

47.041

1

4900

4900

2419509

{'FirstName': 'Hieu', 'LastName': 'Nguyen', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hieu P Nguyen', 'EmailAddress': 'hieu.p.nguyen@ttu.edu', 'NSF_ID': '000677899', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas Tech University', 'CityName': 'LUBBOCK', 'ZipCode': '79409', 'PhoneNumber': '8067423884', 'StreetAddress': '2500 BROADWAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'TX19', 'ORG_UEI_NUM': 'EGLKRQ5JBCZ7', 'ORG_LGL_BUS_NAME': 'TEXAS TECH UNIVERSITY SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas Tech University', 'CityName': 'LUBBOCK', 'StateCode': 'TX', 'ZipCode': '79409', 'StreetAddress': '2500 BROADWAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'TX19'}

{'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}

['2020~142791', '2021~90277']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419509.xml'}

I-Corps: Translation Potential of Deep Mutational Scanning with Duplex Sequencing for Evaluating New Drugs to Combat Cancer

NSF

05/15/2024

04/30/2025

{'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 an improved procedure to evaluate preclinical, targeted cancer drugs. Cancer remains a global health concern, with substantial resources being allocated to the discovery and development of next generation anticancer therapies. While mutational scanning has been performed in academic labs, this project will evaluate the commercial potential of a drug screening platform as a service to pharmaceutical companies. There are currently no commercially available services that can profile a compound and successfully predict clinical drug resistance with high accuracy. Comprehensive profiling of investigational drugs at the preclinical stage of development will aid in the design and selection of promising compounds, ideally resulting in more successful clinical trials and accelerating the speed with which better cures for cancer are made available to patients.<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 Deep Mutational Scanning with Duplex Sequencing (DMS-DS), a technology that can comprehensively map the mutational landscape of investigational anti-cancer compounds and predict clinical drug resistance in cancer. DMS-DS overcomes the limitations of existing methods for scanning drug resistance by directly measuring the effect of every potential point mutation within the drug target in a quantifiable and translatable way. With this solution, the specific clinical exposure levels required to counteract resistance mutations can be assessed, thereby informing critical dosing decisions during clinical trials. A proof-of-concept was developed and validated using a DMS-DS drug screening platform for BCR-ABL, a genetic test that looks for an abnormal gene that is linked to certain types of blood cancer. The process used duplex sequencing to evaluate a modular BCR-ABL kinase library treated with a compound of interest administered at a clinically relevant concentration. DMS-DS successfully identified all clinically known imatinib resistant mutations and classified 18 variants of uncertain drug resistance with >98% accuracy and a detection limit below 1 in 10,000 cells.<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.

05/06/2024

05/06/2024

None

Grant

47.084

1

4900

4900

2419531

{'FirstName': 'Marta', 'LastName': 'Tomaszkiewicz', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marta A Tomaszkiewicz', 'EmailAddress': 'mat19@psu.edu', 'NSF_ID': '000934892', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'StateCode': 'PA', 'ZipCode': '168021503', 'StreetAddress': '201 OLD MAIN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'PA15'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419531.xml'}

Propulsion of synthetic cells driven by biochemical catalysis

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': 'Daniel Savin', 'PO_EMAI': 'dsavin@nsf.gov', 'PO_PHON': '7032924644'}

NON-TECHNICAL SUMMARY:<br/> <br/>Enzymes are important molecules in biology. Enzymes are catalysts that convert substrates to products and are essential for driving processes that allow cells to function and respond rapidly to environmental conditions. There are a wide variety of enzymes in Nature corresponding to the diverse array of chemical reactions that a cell must execute for proper physiological function. It has been found that enzymes can exert forces when they convert substrates, and in this project, these forces will be harnessed to drive the motion of cell-sized capsules in response to substrates. The capsules will be made from biocompatible polymers, so they can be used to deliver drugs and communicate with cells by secreting bioactive compounds. Microfluidics will be used to assemble biocompatible capsules of defined chemistry, size, and composition. It has been found that asymmetry – either in the chemistry or the geometry of the capsule, or both – is required for robust motion. Asymmetry can be systematically built into the capsules using capsule chemistry and microfluidic design. A wide variety of enzymes will be tested to understand how the mechanism of action of each enzyme relates to its ability to support the propulsion of capsules. Capsules of tailored asymmetry with two faces – Janus capsules – will be used to understand how geometrical asymmetry can drive capsule motion via enzyme turnover. Systems in which capsules can communicate by secreting substrates to activate the motion of nearby enzyme-laden capsules or real biological cells will be developed, and furthermore, the motion of capsules in gradients of substrate will be measured. The project will train two graduate research assistants and two undergraduates, and the investigators will communicate their ideas to the broader research community through demonstration lectures to middle school and high school students and faculty.<br/><br/>TECHNICAL SUMMARY:<br/><br/>Enzymes are a diverse set of molecules that catalyze a host of biochemical reactions throughout biology. Enzymes are known exert forces during enzymatic turnover, and previously catalase and urease were used to drive the motion of biocompatible cell-sized capsules. Based on the hypothesis that propulsion is due to osmotic influx at the catalytic binding site (osmophoresis), a wide array of enzymes will be tested to relate fundamental features of enzyme activity (reaction rates, Michaelis constants, and reaction schemes) to capsule propulsion. Of particular interest are cleaving enzymes, such as amylase and nucleases, which are hypothesized to generate augmented osmotic forces and hence avid propulsion. Furthermore, higher order cell behavior, such as chemotaxis and multicellular organization, will be recapitulated with enzyme-functionalized microcapsules. The microcapsules are made by microfluidics using biocompatible polymers (poly-lactic-co-glycolic acid), allowing the control the size, composition, porosity and asymmetry of the capsules. Asymmetry in capsules chemistry and geometry has been demonstrated to enhance capsule motion. The aims of this project will be to measure the motility of single capsules across a range of enzyme-substrate systems and measure the dynamics of motion of asymmetric (Janus) capsules; to quantify the directional motion of capsules in gradients of substrates, analogous to the chemotactic motion of cells; and to determine the ensemble motion of capsules, both with different volume fractions of active particles, as well as mixtures of active and passive particles, to understand how motility can be used to separate and organize multi-particle assemblies. Another goal is to build communication systems in which one capsule can secrete a substrate and drive the motion of a neighboring capsule. Finally, we will understand how motile, synthetic capsules can communicate chemically and physically with biological cells. The capsules can be thought of as synthetic cells (protocells) inspired by and designed to mimic biology. Since the capsules are biocompatible, a host of applications, such as targeted drug delivery and tissue assembly, can be envisioned in which these motile protocells can interface with real biological cells and tissues.<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

47.049

1

4900

4900

2419566

[{'FirstName': 'Daeyeon', 'LastName': 'Lee', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daeyeon Lee', 'EmailAddress': 'daeyeon@seas.upenn.edu', 'NSF_ID': '000544771', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Daniel', 'LastName': 'Hammer', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel A Hammer', 'EmailAddress': 'hammer@seas.upenn.edu', 'NSF_ID': '000187747', 'StartDate': '06/25/2024', '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': '191044300', 'StreetAddress': '210 S 33rd Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '762300', 'Text': 'BIOMATERIALS PROGRAM'}

2024~595829

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419566.xml'}

Collaborative Research: Empirical Frequency Band Analysis for Functional Time Series

NSF

11/01/2023

08/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Yulia Gel', 'PO_EMAI': 'ygel@nsf.gov', 'PO_PHON': '7032927888'}

Monitoring seasonal storms over time is an essential component of understanding long-term atmospheric trends and producing reliable seasonal forecasts. A well-established measure of the location and intensity of mid-latitude storms uses the temporal variance of wind velocity within a certain frequency band. There are two areas of large variance, extending from the East Coasts of Asia and North America out into the Pacific and Atlantic Oceans respectively, and the location of these "storm tracks" and their intensities vary from year to year. However, the measured configurations and strength of the storm tracks are sensitive to the choice of frequency band, and there are currently no data-driven techniques for identifying frequency bands that appropriately characterize trends in wind velocity variability. Understanding the relative strength of higher frequencies (cyclone growth and propagation) vs. lower frequencies (cyclone occlusion and decay) as a function of location and season, as well as long-term trends in the locations and characteristics of storm tracks, aids climate researchers in assessing spatial and time trends in atmospheric conditions. This project aims to develop data-driven procedures to enhance this effort by establishing optimal summary measures for characterizing differences in wind velocity trends among frequencies. The research team will develop, validate, and openly share software and analytical tools for adaptive frequency band estimation that adequately summarizes time-varying dynamics and accounts for the complex interaction between the spatial and temporal dependence in atmospheric conditions. In addition, the project includes professional training through a transdisciplinary program in atmospheric sciences and computational and theoretical statistics. The activities include supervision of doctoral theses and undergraduate capstone projects, as well as talks for local high school students interested in research at the intersection of statistics and atmospheric sciences.<br/><br/>The frequency-domain properties of nonstationary functional time series often contain valuable information. These properties are characterized through their time-varying power spectra. Practitioners seeking low-dimensional summary measures of the power spectrum often partition frequencies into bands and create collapsed measures of power within these bands. However, standard frequency bands may not provide adequate summary measures of the power spectrum. There is need for a standardized, quantitative approach to objectively identify frequency bands that can best summarize spectral information, which for nonstationary functional time series is especially challenging due to the high dimensionality. This project seeks to establish a new data-driven framework for adaptive frequency band estimation for nonstationary functional time series that adequately summarizes the time varying dynamics of the series and simultaneously accounts for the complex interaction between the functional and temporal dependence structures. The three specific aims associated with this effort are: (1) to develop methodology for local frequency band estimation of a nonstationary functional time series that best preserves nonstationary spectral information localized within the functional domain, (2) to develop new methodology for local frequency band estimation of a multivariate nonstationary functional time series that best preserves the joint nonstationary spectral information among multiple functional time series localized within the functional domain, and (3) to develop new approaches for multivariate frequency band estimation of a nonstationary functional time series that best preserves nonstationary spectral information localized within a multidimensional frequency domain. Theoretical validity of these procedures will be established, and computationally efficient estimation procedures will be designed to ensure scalability. Extensive simulation studies will be conducted to explore the empirical and computational properties of the new methods, which are expected to enhance understanding of hidden mechanisms behind storm dynamics and thereby contribute to enhanced resilience to adverse climatic events.<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.

04/24/2024

04/24/2024

None

Grant

47.049

1

4900

4900

2419576

{'FirstName': 'Pramita', 'LastName': 'Bagchi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pramita Bagchi', 'EmailAddress': 'pramita.bagchi@gwu.edu', 'NSF_ID': '000786541', 'StartDate': '04/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'ZipCode': '200520042', 'PhoneNumber': '2029940728', 'StreetAddress': '1918 F ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'ECR5E2LU5BL6', 'ORG_LGL_BUS_NAME': 'GEORGE WASHINGTON UNIVERSITY (THE)', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200520042', 'StreetAddress': '1918 F ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

[{'Code': '745400', 'Text': 'MSPA-INTERDISCIPLINARY'}, {'Code': '806900', 'Text': 'CDS&E-MSS'}]

2022~210239

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419576.xml'}

CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform

NSF

10/01/2023

01/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Daniel Andresen', 'PO_EMAI': 'dandrese@nsf.gov', 'PO_PHON': '7032922177'}

As multimedia streaming is becoming an integral part of many applications, there is a desire to build a special-purpose platform that enables rapid development of streaming services and accommodates them in a robust and cost-efficient manner across the edge-to-cloud continuum. Accordingly, the goal of this project is to design the Multimedia Streaming Cloud (MSC) platform with high-level management abstractions that can reap the benefits of the continuum while hiding the complexity of working with it. MSC promotes the Function-as-a-Service computing paradigm and offers the Object-as-a-Service (OaaS) abstraction as a first-class citizen to represent various streaming sources, hence, relieving the users and developers from both the resource and data management difficulties. OaaS enables flexible migration of the objects across the continuum and accelerates the development of streaming services too. Preserving the object's state facilitates seamless object migration, hence, elasticity and mobility of objects across the edge-to-cloud continuum are achieved. MSC offers cost-efficient and robust QoS to each streaming object via smart task management and resource allocation methods operating on heterogeneous cloud resources. An open-source prototype of the MSC platform is developed and tested via recording devices, a local edge computing system, and a public cloud to assess its usability and robustness. <br/><br/>The MSC platform democratizes multimedia streaming and lays the foundation for the next generation applications operating based on multimedia streaming. MSC will pave the way for stream providers to become solution-oriented and let them focus on developing advanced streaming services and integrate them to their applications. The project results will impact not only the forefront of scientific discovery, but also benefit the society by offering flexible and robust streaming services across various applications. The object abstraction and the intelligent resource allocation methods of the MSC platform can be adapted to and employed in other soft real-time computing systems. The project will impact computer science and IT education by integrating applications into the distributed computing curriculum.<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.

02/08/2024

02/08/2024

None

Grant

47.070

1

4900

4900

2419588

{'FirstName': 'Mohsen', 'LastName': 'Amini Salehi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mohsen Amini Salehi', 'EmailAddress': 'mohsen.aminisalehi@unt.edu', 'NSF_ID': '000691494', 'StartDate': '02/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of North Texas', 'CityName': 'DENTON', 'ZipCode': '762051132', 'PhoneNumber': '9405653940', 'StreetAddress': '1112 DALLAS DR STE 4000', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'TX13', 'ORG_UEI_NUM': 'G47WN1XZNWX9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH TEXAS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of North Texas', 'CityName': 'DENTON', 'StateCode': 'TX', 'ZipCode': '762051132', 'StreetAddress': '1112 DALLAS DR STE 4000', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'TX13'}

{'Code': '735400', 'Text': 'CSR-Computer Systems Research'}

['2021~117610', '2023~119427']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419588.xml'}

Information Coded in Mathematical Structures

NSF

11/01/2023

08/31/2025

{'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'}

Mathematical logic uses mathematical tools in an introspective way to study mathematics itself. This project will use the tools of mathematical logic (and computability theory in particular) to study the way that information can be coded into mathematical structures of the types that arise in all areas of mathematics. The general paradigm is that information is encoded into a mathematical structure if it can always be recovered in an intrinsic way from the structure, without artifacts from the way that the structure is presented. For the simplest kinds of information, like a string of 0's and 1's, the situation is well-understood. But for more complex kinds of information, the situation is much less well-understood and there are many interesting phenomena to explore. Understanding the coding of information will help us understand both the nature of information and the ability of structures of various kinds to code information. This, in turn, informs and guides the mathematical practice of other mathematicians. This project includes the training of undergraduate and graduate students and outreach to high schools.&lt;br/&gt;&lt;br/&gt;More formally, we say that a piece of information A is coded in a structure B if from every copy of the structure, we can recover in a computable way a copy of the information A. For example if B is a countably infinite group then a copy of B is a Cayley table for the group, noting that for an infinite group there are many different Cayley tables obtained by listing the elements of the group in different orders. By a piece of information we mean, in order of increasing complexity, a binary string (or subset of the natural numbers), an infinite family of binary strings, an infinite tree, or some other structure. For the first case of a binary string, there is a good structural characterisation of when a structure codes a binary string; one can interpret this as saying that there is always a good reason for a binary string to be coded by a structure. This is not the case for any more of the more complicated types of information; it seems that there are structures which happen to code information, but there is no good structural reason as to why. This project aims to explore these phenomena and push them to their limit with one aim being to give new tools to attack difficult open problems on degree spectra which have been resistant to current techniques.&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.

02/02/2024

02/02/2024

None

Grant

47.049

1

4900

4900

2419591

{'FirstName': 'Matthew', 'LastName': 'Harrison-Trainor', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew A Harrison-Trainor', 'EmailAddress': 'mht@uic.edu', 'NSF_ID': '000864344', 'StartDate': '02/02/2024', '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': '1268', 'Text': 'FOUNDATIONS'}

2022~125969

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419591.xml'}

CAS: EAGER: Rechargeable NOx Battery

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Tingyu Li', 'PO_EMAI': 'tli@nsf.gov', 'PO_PHON': '7032924949'}

In this EAGER project, funded by the Chemical Structure, Dynamics & Mechanisms-B Program of the Chemistry Division, Shiyu Zhang of the Department of Chemistry and Biochemistry at Ohio State University aims to develop a new class of battery by pairing Na metal with nitrogen oxides (NOx) gas. The proposed Na-NOx battery would have a higher energy density than conventional flow batteries and can be produced from abundant elements. Additionally, the proposed research will achieve broader impacts on society by taking on a significant problem and training students to address important sustainability issues associated with modern battery technology. Outreach activities involving middle school students in the Columbus area will also be part of the funded project. <br/><br/>NOx gases are abundant due to their ease of production from the oxidation of ammonia, a key industrial feedstock produced at about 140 M tons/year. These redox-active NOx species have redox potentials up to 3.25 V vs. Na+/Na, making them attractive energy storage materials. However, due to their highly reactive nature, NOx has yet to be successfully demonstrated for energy storage in batteries. The objective of this proposal is to develop an electrochemical energy storage system by pairing a Na metal anode with an NOx cathode, specifically using nitrogen trioxide (N2O3) and nitric oxide (NO). The research involves (i) establishing the fundamental (electro)chemistry of Na-NOx batteries through electrochemical and in-situ spectroscopic studies, (ii) systematically improving the stability of Na-NOx static cells through the optimization of electrolyte, separator, temperature, cell design, solution-gas-phase equilibria of gaseous NOx, and (iii) designing Na-NOx flow cells equipped with gas mass flow controller and diaphragm pump. If successful, this research has the potential to open up a new vista for the chemistry that underlies sustainable battery technology.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2419596

{'FirstName': 'Shiyu', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shiyu Zhang', 'EmailAddress': 'zhang.8941@osu.edu', 'NSF_ID': '000789467', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101350', 'StreetAddress': '151 W. Woodruff Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '910200', 'Text': 'CMFP-Chem Mech Funct, and Prop'}

2024~300000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419596.xml'}

Community Building and Team Science Support for the Global Centers Program

NSF

04/01/2024

03/31/2027

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Paul Raterron', 'PO_EMAI': 'praterro@nsf.gov', 'PO_PHON': '7032928565'}

Addressing complex global issues requires innovative and synergistic partnerships across sectors, disciplines, and geo-political boundaries to advance science, technology, and policy. The complex endeavor of collaborative, international, large-scale, interdisciplinary research requires coordinated support and an adaptive approach to meet the varied needs of the project teams. The Toolbox Dialogue Initiative Center, based at Michigan State University, supports awardees of the NSF Global Centers (GC) Program in this endeavor. It provides coordinated team science training to build team cohesion and momentum in the early stage of their projects. This project supports GC awardees in thinking strategically about communication within their centers and in managing the processes required for interdisciplinary, convergent research.&lt;br/&gt;&lt;br/&gt;This three-year project aims to support Track 1 and Track 2 awardees of the NSF GC Program by building team science capacity within each project as well as community across projects. The two main elements of this project are: 1) annual, in-person, community-building meetings, and 2) virtual interactive seminars and workshops. The annual community-building meetings brings together GC awardees in Tracks 1 and 2 to support resource sharing and knowledge building around best practices for use-inspired research and education, multi-stakeholder engagement, and workforce development in the context of international, interdisciplinary, collaborative research. The virtual interactive sessions serve the needs and interests of the GC awardees as they design and sustain their global research centers; they provide opportunities for continuous learning and knowledge exchange between the annual meetings, and leverages relationships among investigators across cohorts. These interactive sessions also provide an opportunity for each team to strengthen its communicative and collaborative capacity through participation in a Toolbox dialogue-based workshop. Together these elements provide investigators with opportunities to enhance the efficiency and effectiveness of interdisciplinary, international, research collaborations.&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.

03/25/2024

03/25/2024

None

Grant

47.079

1

4900

4900

2419639

[{'FirstName': 'Marisa', 'LastName': 'Rinkus', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marisa A Rinkus', 'EmailAddress': 'rinkusma@msu.edu', 'NSF_ID': '000572180', 'StartDate': '03/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Michael', 'LastName': "O'Rourke", 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Michael R O'Rourke", 'EmailAddress': 'orourk51@msu.edu', 'NSF_ID': '000408598', 'StartDate': '03/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'StateCode': 'MI', 'ZipCode': '488245602', 'StreetAddress': 'S Kedzie Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}

{'Code': '054Y', 'Text': 'GVF - Global Venture Fund'}

2024~624599

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419639.xml'}

SBIR Phase I: Space Biobank: Enabling High Throughput Space-Based Biotech R&amp;D

NSF

03/15/2024

08/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anna Brady', 'PO_EMAI': 'abrady@nsf.gov', 'PO_PHON': '7032927077'}

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project establishing a space biobank represents a direct and real expansion of space access to a broader customer base, enhancing the scale and scope of commercial space markets. The low Earth orbit (LEO) environment has been shown to be a unique testbed to discover and develop novel drugs, therapies, and nutraceuticals. As biology adapts to space, changes in physiology can provide scientists with new drug targets and secondary metabolites. In addition, physiological studies conducted on astronauts have generated high-value datasets capable of supporting a variety of aging related initiatives. These studies support the use of the LEO environment for the development of therapies treating cognitive function loss, cardiac health reduction, muscle atrophy, and bone loss. Past results from space-based R&amp;D indicate that by enabling more biotech missions, society stands to benefit from breakthroughs in agriculture, regenerative medicine, drug discovery, and biomanufacturing. Space Biobank will become the platform that enables on-orbit discovery and scalable production through reliable access to this unique biological and physical environment.&lt;br/&gt;&lt;br/&gt;This SBIR Phase I project will develop a space biobank, the first repository for microbial species produced from and optimized for the space environment. This initiative aims to democratize space-based research by facilitating broader community engagement. Unlike the well-established engineering standards within the space industry, biological standardization for organisms and scientific processes is lacking. The space biobank addresses this gap, enabling teams to streamline pre-flight development, conduct experiments using space-flown strains, and enhance mission comparability. The PI’s company has operated a dozen ISS missions focused on both growth and production through targeted biomanufacturing and bioprospecting/drug discovery missions. The resulting strains and those developed for and on future missions will be made available to the biotech market through the space biobank. A suite of postflight characterizations will determine metabolic and functional modifications observed in the space environment prior to inclusion in the space biobank. Overall, the key benefits of the space biobank include 1) a significant reduction in mission development timelines; 2) a source of flight-adapted and proven biological samples to de-risk mission objectives; 3) a global mechanism for scientists to engage in space-derived experiments; and 4) a central repository for all space-flown microbial samples.&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.

03/11/2024

03/11/2024

None

Grant

47.084

1

4900

4900

2419674

{'FirstName': 'Olivia', 'LastName': 'Holzhaus', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Olivia G Holzhaus', 'EmailAddress': 'olivia@rhodiumscientific.com', 'NSF_ID': '000726328', 'StartDate': '03/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Rhodium Scientific, LLC', 'CityName': 'HOUSTON', 'ZipCode': '770582505', 'PhoneNumber': '2106412880', 'StreetAddress': '1300 BAY AREA BLVD # B275-5', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'TX36', 'ORG_UEI_NUM': 'GSL2BE4KFWF8', 'ORG_LGL_BUS_NAME': 'RHODIUM SCIENTIFIC LLC', 'ORG_PRNT_UEI_NUM': 'GSL2BE4KFWF8'}

{'Name': 'Rhodium Scientific, LLC', 'CityName': 'HOUSTON', 'StateCode': 'TX', 'ZipCode': '770582505', 'StreetAddress': '1300 BAY AREA BOULEVARD SUITE B275-5', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'TX36'}

{'Code': '5371', 'Text': 'SBIR Phase I'}

2024~273968

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419674.xml'}

CAREER: Robust Coherence and High Sensitivity in Metal-Ion Nuclear-Spin Qubits

NSF

02/15/2024

03/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Tingyu Li', 'PO_EMAI': 'tli@nsf.gov', 'PO_PHON': '7032924949'}

In this CAREER grant, funded by the Chemical Structure, Dynamic & Mechanism B Program of the Chemistry Division, Professor Joseph Zadrozny of the Department of Chemistry at Colorado State University aims to develop new classes of molecules with environmentally sensitive quantum properties. Such fundamental research lies at the core of efforts to establish new systems for quantum sensing and/or quantum computing. The goal of the research is to understand how to amplify environmental detection by the quantum states of metal-ion magnetic nuclei, which would be essential for the development of next-generation quantum bits or magnetic resonance imaging sensors. The project lies at the interface of coordination chemistry, physics, and quantum information science and will thus educate scientists at all levels in these areas. Outreach activities with a local science museum and through a STEM (Science, Technology, Engineering and Mathematics) kit are planned as new ways to expose students at an early stage to the exciting but complex quantum world.<br/><br/>The quantum states of nuclear spins in metal complexes are generally long-lived owing to weak environmental sensitivity. Understanding how to amplify this sensitivity may lead to systems that are highly environmentally sensitive yet with long-lived quantum states, which is a fundamental challenge. In this project, Dr.Joseph Zadrozny and his team will study hybrid electronic/nuclear spin systems in order to understand how to control environmental sensitivity. Three specific classes of hybrid electron/nuclear complexes will be prepared to answer the following questions: 1) Can spin-crossovers be harnessed to amplify the environmental sensing by metal-ion nuclear spins? 2) Can valence tautomerizations be used to effect environmental detection capabilities by a metal-ion nuclear spin? 3) What are the design principles for a radical satellite to best amplify the response of metal-ion spin dynamics to changes in local chemistry?<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.

02/13/2024

02/13/2024

None

Grant

47.049

1

4900

4900

2419717

{'FirstName': 'Joseph', 'LastName': 'Zadrozny', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joseph M Zadrozny', 'EmailAddress': 'zadrozny.13@osu.edu', 'NSF_ID': '000778705', 'StartDate': '02/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '910200', 'Text': 'CMFP-Chem Mech Funct, and Prop'}

2021~213642

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419717.xml'}

Collaborative Research: CICI:TCR:S2-D2: Securing Self-describing Data, Formats, and Libraries

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Rob Beverly', 'PO_EMAI': 'rbeverly@nsf.gov', 'PO_PHON': '7032927068'}

Data in science and engineering are often managed by software libraries that store data and data-describing metadata together. These “self-describing” data, file formats, and software libraries, such as HDF5 and netCDF, offer standardized, machine-independent, and portable file formats that support flexible and performant organization of large amounts of data. As a result, numerous scientific, engineering, and industry applications use these formats for storing and analyzing their data. With many critical fields using self-describing formats, these data as well as their corresponding data management software libraries have become critical cyberinfrastructure that must be secured to perform accurate and reproducible science. Unfortunately, existing data management software libraries were designed decades ago, before cybersecurity was a major concern, so there has never been a targeted testing and evaluation of the trustworthiness, integrity, and resilience of these libraries. This project is exploring strategies to integrate both well-known and advanced security algorithms into prominent data management libraries. The research performed in in this project will be a foundational step towards building next generation secure data management cyberinfrastructure for the rapidly changing landscape of science and AI, where security, privacy, and trustworthiness are critically required. <br/><br/>This project will apply comprehensive testing, evaluation, issue identification, hardening, and validation to correct security deficiencies in self-describing file formats and libraries. The specific R&D tasks include: (1) assessing and fixing file format vulnerabilities, (2) protecting data access libraries, (3) exploring security solutions for metadata and data, and (4) constructing a security framework, called S2-D2. The S2-D2 project will have a direct impact on securing data in a variety of scientific domains. Additionally, bolstering the HDF5 library with robust security will make it more usable in applications that require increased security, such as the financial and medical fields.<br/><br/>This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the NSF National Discovery Cloud for Climate (NDC-C) initiative.<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.

06/11/2024

06/11/2024

None

Grant

47.070

1

4900

4900

2419722

[{'FirstName': 'Dana', 'LastName': 'Robinson', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dana E Robinson', 'EmailAddress': 'derobins@hdfgroup.org', 'NSF_ID': '000564270', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Surendra', 'LastName': 'Byna', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Surendra Byna', 'EmailAddress': 'byna.1@osu.edu', 'NSF_ID': '000595776', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Zhiqiang', 'LastName': 'Lin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zhiqiang Lin', 'EmailAddress': 'zlin@cse.ohio-state.edu', 'NSF_ID': '000610524', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

[{'Code': '295Y00', 'Text': 'NDCC-Natl Discvry Cloud Climat'}, {'Code': '802700', 'Text': 'Cybersecurity Innovation'}]

2024~1197143

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419722.xml'}

Conference: Translating Molecular Science Innovations into Biotechnology Solutions

NSF

04/15/2024

09/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Tingyu Li', 'PO_EMAI': 'tli@nsf.gov', 'PO_PHON': '7032924949'}

In FY2021, the Division of Chemistry at National Science Foundation (NSF) launched a new highly collaborative program (the Molecular Foundations for Biotechnology - MFB), which supports fundamentally new approaches in molecular sciences to drive new directions in molecular biotechnology, a critical and emerging technology of the 21st century. The program has grown into a direct partnership between the National Institutes of Health’s National Human Genome Research Institute (NHGRI) and six divisions across four NSF directorates. Eleven awards were made in the first two funding cycles, and a third funding round is in progress. <br/><br/>With support from the Division of Chemistry (CHE) and the Directorate for Technology, Innovation, and Partnerships at NSF, Dr. Anthony Boccanfuso of University-Industry Demonstration Partnership is organizing a workshop for awardees in the first two funding cycles, other academic investigators, and a strategic set of private sector representatives to consider the progress of the MFB program (Day 1), followed by a day dedicated to exploring current federal agency approaches to translating research and the commercial and translation potential of the research thrusts (Day 2). The ultimate goals of this workshop are to assess the translational potential of the MFB program, bring in possible investment from the business sector, and identify other technical areas needing additional investments. The workshop is slated to take place in Spring 2024 in the Washington, DC region.<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

47.049, 47.084

1

4900

4900

2419731

{'FirstName': 'Anthony', 'LastName': 'Boccanfuso', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anthony M Boccanfuso', 'EmailAddress': 'tony@uidp.net', 'NSF_ID': '000753256', 'StartDate': '04/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University Industry Demonstration Partnership', 'CityName': 'COLUMBIA', 'ZipCode': '292012635', 'PhoneNumber': '8038073679', 'StreetAddress': '1705 RICHLAND ST', 'StreetAddress2': 'SUITE G', 'CountryName': 'United States', 'StateName': 'South Carolina', 'StateCode': 'SC', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'SC06', 'ORG_UEI_NUM': 'LABUVEY8F457', 'ORG_LGL_BUS_NAME': 'UNIVERSITY INDUSTRY DEMONSTRATION PARTNERSHIP, INC. (UIDP, INC)', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University Industry Demonstration Partnership', 'CityName': 'COLUMBIA', 'StateCode': 'SC', 'ZipCode': '292012635', 'StreetAddress': '1705 RICHLAND ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'SC06'}

[{'Code': '197800', 'Text': 'PROJECTS'}, {'Code': '226Y00', 'Text': 'Special Projects'}]

2024~99999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419731.xml'}

Toward High Intensity Forbidden EPR Transitions In Bimetallic Complexes

NSF

02/15/2024

07/31/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': "Francis D'Souza", 'PO_EMAI': 'frdsouza@nsf.gov', 'PO_PHON': '7032924559'}

With support from the Chemical Structure, Dynamics & Mechanisms B Program of the Chemistry Division, Professor Joseph Zadrozny of the Department of Chemistry at Colorado State University is developing new classes of dinuclear transition metal complexes to probe forbidden electron paramagnetic resonance (EPR) spectroscopic transitions. The goal of this research is to exploit the characteristics of these dinuclear species to understand how molecular structure can assist in violating EPR selection rules to enable high intensity transitions. The specific transitions being explored may yield new capabilities for bioimaging techniques that use EPR transitions. The research project spans the interface of inorganic and physical chemistries with synthetic and spectroscopic analyses as a key part of the work. The broader outreach goals for the program will be to create an easy-to-access lesson for synthetic chemists to approach the selection rules of EPR. This plan will follow the pedagogical strategies commonly employed for more common techniques, e.g. UV-vis spectroscopy, and as such aims to be a cornerstone in bringing new chemists into the EPR arena.<br/><br/>The longer-term goal for the work is to enable low-frequency EPR transitions at high magnetic field, which would permit the chemical sensitivity of EPR imaging to be integrated with MRI. The singlet-to-triplet transition of two-spin systems is a promising way to realize such an EPR transition, because of its unique field dependence. Yet, the transition is forbidden and therefore weak hence, chemical design strategies for molecules to override the EPR selection rule and increase signal intensity are needed. Dinuclear metal complexes have a plethora of magnetic interactions that could potentially violate the EPR selection rule, but experimental tests of the efficacy of these violations have yet to be performed. This work will study the singlet-to-triplet transition in a variety of dinuclear metal complexes to explore how exchange coupling, hyperfine coupling, and relative spin orientation all contribute to the intensity of the forbidden resonance.<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.

02/09/2024

02/09/2024

None

Grant

47.049

1

4900

4900

2419767

{'FirstName': 'Joseph', 'LastName': 'Zadrozny', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joseph M Zadrozny', 'EmailAddress': 'zadrozny.13@osu.edu', 'NSF_ID': '000778705', 'StartDate': '02/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '910200', 'Text': 'CMFP-Chem Mech Funct, and Prop'}

2023~435914

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419767.xml'}

CICI: TCR: Practical, Systematic Fuzz Testing for Securing Scientific Software

NSF

10/01/2024

09/30/2027

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Rob Beverly', 'PO_EMAI': 'rbeverly@nsf.gov', 'PO_PHON': '7032927068'}

Recent high-profile software-borne security breaches show that scientific research institutions are particularly targeted for their proximity to national security interests such as nuclear energy. Unfortunately, scientific software security is concerningly overlooked: despite having many exploitable security vulnerabilities and growing calls for more stringent secure development practices, the scientific community currently lacks the suitable tools to thoroughly vet their software. As much of the software world has embraced the vulnerability-finding strategy known as “fuzzing”, this project aims to transition recent advancements in cybersecurity, software engineering, and computer systems to enable thorough, systematic fuzzing of today’s complex scientific software. The outcomes of this proposal will enhance the overall security of scientific software—reducing the likelihood of future software-borne security breaches against the users, communities, and institutions that use it.<br/><br/>Existing fuzzing tools generally target small, single-language code with well-known input specifications, and thus fail to support the often multi-language, large, and esoteric nature of scientific software. Accordingly, this work aims to tackle these asymmetries by introducing (1) performant instrumentation with cross-language support; (2) fully-automated synthesis of thorough fuzzing harnesses; and (3) automated mining of formal input specifications. Beyond their release to the broader scientific software community, the tools and techniques resulting from this project are projected to be deployed on large-scale cyberinfrastructure through UVA’s ACCORD initiative as well as collaborating National Lab 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.

06/25/2024

06/25/2024

None

Grant

47.070

1

4900

4900

2419798

[{'FirstName': 'Stefan', 'LastName': 'Nagy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stefan Nagy', 'EmailAddress': 'snagy@cs.utah.edu', 'NSF_ID': '000886471', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jack', 'LastName': 'Davidson', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jack W Davidson', 'EmailAddress': 'jwd@virginia.edu', 'NSF_ID': '000349080', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Utah', 'CityName': 'SALT LAKE CITY', 'ZipCode': '841129049', 'PhoneNumber': '8015816903', 'StreetAddress': '201 PRESIDENTS CIR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Utah', 'StateCode': 'UT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'UT01', 'ORG_UEI_NUM': 'LL8GLEVH6MG3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF UTAH', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Utah', 'CityName': 'SALT LAKE CITY', 'StateCode': 'UT', 'ZipCode': '841129049', 'StreetAddress': '201 PRESIDENTS CIR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Utah', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'UT01'}

{'Code': '802700', 'Text': 'Cybersecurity Innovation'}

2024~1200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419798.xml'}

CICI: TCR: Making Network Telescopes Dynamically Adaptable Through Network Programmability

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Rob Beverly', 'PO_EMAI': 'rbeverly@nsf.gov', 'PO_PHON': '7032927068'}

A network telescope is a research infrastructure also used for cybersecurity operations. It monitors traffic reaching Internet address space that is not assigned to any hosts. This traffic is therefore unsolicited—a sort of pollution—and is constituted of an evolving mix of diverse traffic components originating from across the whole Internet. For more than two decades, network telescope instrumentation has enabled research breakthroughs by allowing global visibility into a wide range of Internet phenomena: from the automated spread of malicious software such as Internet viruses to Internet blackouts. Measurement and analysis of such macroscopic phenomena are of key relevance for the security and reliability of the Internet infrastructure but also provide data and inspire progress in interdisciplinary studies. However, due to the increasing scarcity of IPv4 address space, the size of telescopes has been progressively eroding over the years, to the point that some organizations stopped operating them or reduced their size, which lessens their research and educational utility. Another new issue with this research infrastructure is that malicious actors have been learning to “blacklist” network telescopes and can avoid them when scanning the Internet. <br/><br/>A novel methodology, called dynamic network telescopes, overcomes these issues. A dynamic telescope is based on deploying programmable switches at the border of the organization’s network to continuously discover utilization of internal space and adaptively adjust the scope of traffic capture. This project deploys the very first implementation of such novel solution at the Merit network telescope, one of the largest network telescopes available to the research community. Merit is an independent nonprofit governed by Michigan’s public universities, which owns and operates America’s longest-running regional research and education network. In addition, through workshops and collaborations this project engages the research community to discuss the new research opportunities and benefits observed through its deployment at Merit and to identify strategies to extend its deployment to other research and education organizations.<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.

06/11/2024

06/11/2024

None

Grant

47.070

1

4900

4900

2419826

{'FirstName': 'Alberto', 'LastName': 'Dainotti', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alberto Dainotti', 'EmailAddress': 'adainotti6@gatech.edu', 'NSF_ID': '000645127', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Institute of Technology', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320001', 'StreetAddress': '225 North Avenue', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '802700', 'Text': 'Cybersecurity Innovation'}

2024~1200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419826.xml'}

CICI: UCSS: Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Rob Beverly', 'PO_EMAI': 'rbeverly@nsf.gov', 'PO_PHON': '7032927068'}

Scientific Cyberinfrastructure (CI) is evolving to become Internet of Things-driven, and relies on machine learning (ML) models for advanced data analysis and predictive modeling. These ML models handle serious societal responsibilities such as flood modeling and hurricane prediction. However, the leakage of these models can cause serious issues, ranging from national security and cybersecurity to intellectual property loss. This project implements a secure ML inference solution to prevent safety- and security-critical ML models from leaking to attackers. It raises awareness of ML model extraction attacks in device-driven scientific Cis. It also broadens the impacts of CI security by enabling new functionalities and having more mission-critical ML models safely and securely deployed in CIs. <br/><br/>This project aims to advance the security and privacy of on-device ML models tailored for scientific studies using Internet of Things-based CIs. It consists of two primary tasks. First, the project presents a novel runtime detection and prevention mechanism for ML model extraction attacks. It employs multi-level instrumentation techniques for CI applications and extracts patterns related to ML functions. It re-defines memory regions for various ML tasks and allows ML developers to customize security policies to control access to model-related data. Second, the project implements a comprehensive assessment mechanism for on-device ML model security. It measures the feasibility of a potential model extraction attack with a newly designed model extraction dependency graph, and dynamically runs penetration-based model extraction attacks against potentially vulnerable applications to confirm the existence of such attacks. This project integrates these techniques and tools into device-driven CIs across various existing scientific domains, and envisions to significantly reduce the attack surfaces of ML models deployed in these CIs.<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.

06/11/2024

06/11/2024

None

Grant

47.070

1

4900

4900

2419843

[{'FirstName': 'Jason', 'LastName': 'Liu', 'PI_MID_INIT': 'X', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jason X Liu', 'EmailAddress': 'liux@cis.fiu.edu', 'NSF_ID': '000246632', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Ruimin', 'LastName': 'Sun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ruimin Sun', 'EmailAddress': 'rsun@fiu.edu', 'NSF_ID': '000850476', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Yuede', 'LastName': 'Ji', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yuede Ji', 'EmailAddress': 'yuede.ji@unt.edu', 'NSF_ID': '000870393', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Florida International University', 'CityName': 'MIAMI', 'ZipCode': '331992516', 'PhoneNumber': '3053482494', 'StreetAddress': '11200 SW 8TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_ORG': 'FL26', 'ORG_UEI_NUM': 'Q3KCVK5S9CP1', 'ORG_LGL_BUS_NAME': 'FLORIDA INTERNATIONAL UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'Q3KCVK5S9CP1'}

{'Name': 'Florida International University', 'CityName': 'MIAMI', 'StateCode': 'FL', 'ZipCode': '331992516', 'StreetAddress': '11200 SW 8TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'FL26'}

{'Code': '802700', 'Text': 'Cybersecurity Innovation'}

2024~600000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419843.xml'}

Quantum Phenomena in Solids

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': 'Alexios Klironomos', 'PO_EMAI': 'aklirono@nsf.gov', 'PO_PHON': '7032924920'}

NONTECHNICAL SUMMARY<br/><br/>All materials are made from elementary constituents -- protons, neutrons, and electrons -- which are governed the laws of quantum mechanics. Often this quantum-ness becomes hidden in their macroscopic aspect, but with care it can be revealed by modern techniques and harnessed to produce novel functionalities. This project focuses on the observation and manipulation of "excitations", which are particle or wave-like disturbances that move within a quantum material and can carry energy, charge, or information with them. The way in which these excitations are created, move, and interact reveal fundamental physics of the quantum world. Such motions also serve as the basis for diverse information and energy technologies.<br/><br/>In this project, new theoretical techniques will be developed and specific predictions made to guide the experimental study and use of quantum excitations in materials. The first research thrust is on unconventional magnetic materials known as spin liquids, in which excitations called "spinons" act like fractions of electrons and experience strikingly different forces from those in normal experience. The theory developed in this project will reveal how spinons move and interact with one another, and guide their observation in modern experiments such as neutron scattering. Another type of excitation in quantum materials is the "exciton", which is a sort of pseudo-atom formed from electrons in a semiconductor that can both absorb and emit laser light efficiently. In a second study within this project, theory will be developed to show how dense systems of excitons under intense laser illumination change their quantum states. The final thrust of the project is to develop theoretical techniques to model the motion of quantum excitations on modern quantum computers. The new methods developed therein may enable the next generation of materials modeling on quantum devices.<br/><br/>Training of undergraduate and graduate students and postdoctoral researchers is an integral component of this project. These junior scientists will learn forefront areas of condensed matter and quantum theory, as well as develop general scientific, communication, and computational proficiency, through mentorship and collaboration on the research. These skills prepare them to participate productively in the nation's quantum workforce. <br/><br/><br/>TECHNICAL SUMMARY<br/><br/>The nature of a quantum phase of matter is revealed through its quasiparticle excitations, and these quasparticles control the responses and properties of quantum materials. The goal of this project is advance the theoretical understanding of the dynamics of excitations in exotic quantum states, by developing new theoretical models and techniques, with applications to specific quantum materials of particular interest.<br/><br/>The research is divided into three thrusts. The first thrust focuses on quantum spin liquids, in which frustration and quantum fluctuations induce a long-range entangled state which supports fractionalized emergent excitations such as spinons. This project develop the theory of dynamical correlations of spins and holes in spin liquids for detailed comparison with experiments such as inelastic neutron scattering, in order to break the bottleneck limiting progress in spin liquid studies. The second thrust concerns moiré excitons, which are a remarkable new platform for interacting boson physics beyond equilibrium, and the proposed work will elucidate the non-equilibrium aspects which are unique and novel, in particular the many-body physics of moiré excitons under strong laser illumination. The final thrust of the project is to develop theoretical techniques to model the dynamics of quasiparticles on modern quantum computers. The new methods developed therein may enable the next generation of materials modeling on quantum devices.<br/><br/>Training of undergraduate and graduate students and postdoctoral researchers is an integral component of this project. These junior scientists will learn forefront areas of condensed matter and quantum theory, as well as develop general scientific, communication, and computational proficiency, through mentorship and collaboration on the research. These skills prepare them to participate productively in the nation's 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.

05/31/2024

05/31/2024

None

Grant

47.049

1

4900

4900

2419871

{'FirstName': 'Leon', 'LastName': 'Balents', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Leon M Balents', 'EmailAddress': 'balents@physics.ucsb.edu', 'NSF_ID': '000199229', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'ZipCode': '931060001', 'PhoneNumber': '8058934188', 'StreetAddress': '3227 CHEADLE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'G9QBQDH39DF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SANTA BARBARA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'StateCode': 'CA', 'ZipCode': '931060001', 'StreetAddress': '3227 CHEADLE HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}

{'Code': '176500', 'Text': 'CONDENSED MATTER & MAT THEORY'}

2024~450000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419871.xml'}

Workshop on Disaster Research: Innovating for an Imagined Disaster Future; Newark, Delaware; 2-4 May 2024

NSF

04/15/2024

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

This grant supports an international, interdisciplinary workshop that brings together a diverse group of scientists and practitioners to provoke discussion on future disasters and percolate fresh thinking about events that have yet been fully characterized. As the globe emerges from the pandemic into new sorts of instability - climatic, economic, technical, geopolitical - the knowledge needed to make sense of compounding hazards is by no means certain. This workshop serves as a launching pad for the necessary conversation to propel disaster science forward as well as an incubator for new research collaborations and novel approaches. The recorded presentations and public (free/open access) dissemination reach a much broader audience. With an emphasis on graduate student engagement and mentorship, the workshop nurtures the next generation of disaster science scholars.<br/><br/>While researchers, practitioners, and policymakers continue to solve the problems of today, disasters of the future lurk in the distance. As new patterns and threats evolve rapidly, imagining future scenarios and suggesting innovative paths forward are paramount. A return to fundamental discovery is critical to advancing the field of disaster science and driving transformative impact. The two-day workshop is structured with activities known to catalyze deep contemplation and maximum engagement. It brings together leading and emerging disaster experts in the social science, policy, engineering, and health science as well as those in emergency management practice. The format - a combination of featured presentations, keynote speakers, topic panels, poster presentations, film screenings, hands-on activities, and collaborative discussion sessions - facilitates learning, engagement, and contributions from attendees throughout the event. Pre- and post-workshop activities include a day-long graduate student workshop; a researchers-in-residence program through the E.L. Quarantelli Resource Collection; and a coastal impacts and resilience field tour. The output from the workshop is of value to scholars, practitioners, policymakers, and funding agencies.<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.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2419878

[{'FirstName': 'James', 'LastName': 'Kendra', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James M Kendra', 'EmailAddress': 'jmkendra@udel.edu', 'NSF_ID': '000107622', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Tricia', 'LastName': 'Wachtendorf', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tricia Wachtendorf', 'EmailAddress': 'twachten@udel.edu', 'NSF_ID': '000238711', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'ZipCode': '197160099', 'PhoneNumber': '3028312136', 'StreetAddress': '220 HULLIHEN HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Delaware', 'StateCode': 'DE', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DE00', 'ORG_UEI_NUM': 'T72NHKM259N3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF DELAWARE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'StateCode': 'DE', 'ZipCode': '197160099', 'StreetAddress': '220 HULLIHEN HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Delaware', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DE00'}

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

2024~49221

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419878.xml'}

GOALI: SHF:Small: Energy-Efficient and Real-Time Neural Partial Differential Equation Solvers on 2.5D Photonic Chips

NSF

10/01/2024

09/30/2027

{'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': 'Hu, X. Sharon', 'PO_EMAI': 'xhu@nsf.gov', 'PO_PHON': '7032928910'}

Partial differential equation (PDE) is one of the most popular mathematical tools used in science and engineering. Representative applications of PDEs include (but are not limited to) aircraft design, semiconductor chip design, medical imaging, autonomous vehicles, and weather prediction. Traditional PDE solvers discretize the spatial and temporal domains into many grid points, resulting in huge memory and computing costs. In recent years, neural networks have been incorporated with physical knowledge to solve PDE problems. The resulting technique, physics-informed neural networks (PINN), has shown superior performance than traditional discretization-based PDE solvers in solving high-dimensional PDEs and PDE-constrained control problems. However, training a PINN can still be very time-consuming in many realistic engineering applications even on powerful graphic processing units. This has prevented the application of PINN from resource-constrained scenarios with strict requirements on the computing platforms' size, weight, and power. This motivates the research team to develop, for the first time, a real-time and real-size PINN training accelerator using photonic chips. The research results can be used to solve vast science and engineering problems with PDE descriptions in real-time and with ultra-low energy costs. The collaboration between the University of California at Santa Barbara (UCSB) and Hewlett Packard Labs will enable effective technology transfer and train next-generation workforces in semiconductor chip design and artificial intelligence via graduate education and industrial research internship.<br/><br/>Despite the ultra-high speed of photonic computing, training a PINN with a realistic network size (with around 1000 neurons) on a photonic chip is very challenging due to the poor scalability of photonic chips and the hardware-unfriendly nature of backward propagation. This project will leverage the collaboration between UCSB and Hewlett Packard Labs to develop the first real-time and real-size end-to-end PINN training accelerator on a 2.5-dimensional photonic chip. The research team will create a highly compressed and completely backward propagation-free method for training large-size PINN, which only requires forward propagation in the training process. The training algorithms can be easily implemented on a photonic chip without using any photonic memory. A theoretical understanding of the training method will be developed to provide performance insurance. The unfunded industrial co-investigator from Hewlett Packard Labs will develop resonator-based wavelength-parallel photonic tensor cores and charge-trap flash memory to achieve a highly energy-efficient and scalable tensor-compressed inference accelerator with photonic in-memory computing. The co-package of electronic and photonic integrated circuits will be realized via 2.5-dimensional heterogeneous integration.<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.

06/13/2024

06/13/2024

None

Grant

47.070

1

4900

4900

2419889

[{'FirstName': 'Zheng', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zheng Zhang', 'EmailAddress': 'zhengzhang@ece.ucsb.edu', 'NSF_ID': '000753421', 'StartDate': '06/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Xian', 'LastName': 'Xiao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xian Xiao', 'EmailAddress': 'xian.xiao@hpe.com', 'NSF_ID': '000994607', 'StartDate': '06/13/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'ZipCode': '931060001', 'PhoneNumber': '8058934188', 'StreetAddress': '3227 CHEADLE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'G9QBQDH39DF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SANTA BARBARA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'StateCode': 'CA', 'ZipCode': '931060001', 'StreetAddress': '3227 CHEADLE HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}

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

2024~599474

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419889.xml'}

I-Corps: Translation Potential of a Point-of-care System for Fast Multiplexed Detection of Pathogens

NSF

05/01/2024

04/30/2025

{'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 portable, cost-effective, and rapid point of care tests for infectious diseases in animals. Currently the food animal market relies mostly on central laboratories for their diagnostic needs. The most common concerns faced by the stakeholders in the food animal market are diagnostic time and the cost of the tests, limiting the number and the frequency of tests that could be performed for regulation of animal health. A magnetic particle spectroscopy-based diagnostic platform can enable rapid detection of pathogen(s) at the farm. Such pathogen detection is essential for the efficient implementation of control strategies that curtail disease outbreaks in animal production systems. In addition, the simultaneous detection of multiple pathogens in a single test, enabled by the new detection capabilities would further aid in reducing the time of intervention, effort, and cost of production for farmers dealing with these diseases. This assay can be readily modified for the detection of different diseases, enabling the platform to be utilized for the diagnosis of both human as well as animal diseases. <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 rapid diagnostic tests built upon magnetic particle spectroscopy. the magnetic particle spectroscopic assay utilizes antibody- or ligand-conjugated magnetic nanoparticles for the detection of biomarkers of interest. As the biological matrices are non-magnetic / weakly diamagnetic, magnetic particle spectroscopy has an advantage over other commonly used optical or fluorescence-based detection methods in reducing the signal to noise ratio. Thus, the magnetic particle spectroscopy-based assay is highly accurate, and capable of delivering multiplexed test results. The diagnostic feasibility of this assay was tested using influenza A virus and severe acute respiratory syndrome corona virus-2 (SARS-CoV-2). The portability of the detection device coupled with a smartphone interface will allow testing in remote areas and under field settings, such as on a farm or in a production system. By transmitting test results collected from distant locations to centrally located data analysis units, remotely located veterinarians can receive real-time epidemiological data. This data would also significantly reduce the costs of monitoring infections at the regional level.<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

2419903

{'FirstName': 'Jian-Ping', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jian-Ping Wang', 'EmailAddress': 'jpwang@umn.edu', 'NSF_ID': '000385176', 'StartDate': '04/22/2024', '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-Twin Cities', 'CityName': 'MINNEAPOLIS', 'StateCode': 'MN', 'ZipCode': '554550169', 'StreetAddress': '200 Union ST SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419903.xml'}

Conference: 2024 Bioinspired Materials Gordon Research Conference and Seminar

NSF

06/01/2024

11/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Nitsa Rosenzweig', 'PO_EMAI': 'nirosenz@nsf.gov', 'PO_PHON': '7032927256'}

Non-technical description <br/>Bioinspired materials are artificial materials whose design, properties, and/or function mimic aspects of naturally occurring materials. Living organisms have developed exquisite approaches to assemble highly sophisticated materials, for example, for use as structural load-bearing components or to enable complex functions such as sensing and motion. The interdisciplinary field of bioinspired materials research focuses on developing a fundamental understanding of the design, synthesis, and function of naturally occurring materials and uses this understanding to create synthetic materials and systems. Examples of bio-inspired materials include burr-seed-inspired hook-and-loop fasteners (Velcro), underwater adhesives that take inspiration from mussels’ ability to stick to rocks, power sources that imitate the electric organ of electric fish, and cell-mimicking nanoparticles for drug delivery. This NSF grant supports the 2024 Gordon Research Conference (GRC) on Bioinspired Materials, which brings together some 200 researchers, primarily from the fields of biology, chemistry, physics, materials science and engineering, and medicine. The meeting is held in Les Diablerets, Switzerland, June 16-21, 2024. A large number of the participants are from the U.S., and more than half of the meeting’s participants are junior researchers, i.e., graduate students, postdoctoral associates, and early-stage professors. GRCs provide immersive experiences in which cutting-edge, unpublished science is presented and discussed. The program includes oral and poster sessions, discussions over meals, and social engagements between sessions. A two-day Gordon Research Seminar (GRS) for graduate students and postdoctoral researchers will precede the main meeting and offer junior scientists to discuss their projects among themselves. A Power Hour – a unique platform found at GRCs – is devoted to discussing strategies for the advancement of women and members of underrepresented minority groups in bioinspired materials science. The meeting’s format enables the trans-disciplinary development of new ideas, allows junior researchers to engage with established senior investigators, and serves to build a research community.<br/><br/>Technical description <br/>The interdisciplinary field of bioinspired materials focuses on developing a fundamental understanding of the synthesis, self-assembly, hierarchical organization, and function of naturally occurring materials and uses this understanding to develop artificial materials for a broad range of applications, including the delivery of therapeutics, tissue engineering, and living materials. The fundamental concepts behind bioinspired design are becoming increasingly integrated into a wide range of materials and devices for the biological, medical, industrial, energy, and military sectors, and form part of research activities of several programs at NSF. The Gordon Research Conference (GRC) on Bioinspired Materials, held June 16-21, 2024 in Les Diablerets, Switzerland and the preceding two-day Gordon Research Seminar (GRS) for junior researchers have the goal to (i) provide a platform for the exchange of cutting-edge work on Bioinspired Materials and their applications; (ii) bring together a diverse group of presenters that include established researchers and early-stage investigators; (iii) promote the trans-disciplinary development of new ideas; (iv) build a research community; (v) nurture future researchers of the field; and (vi) promote inclusion and diversity in the bioinspired materials community. The 2024 edition of the Bioinspired Materials GRC, subtitled “Using Nature’s Design Principles to Create Functional Artificial Materials”, emphasizes the topics of Self-Assembly, Artificial Cells, Bio-inspired Therapeutic Materials, Tissue Engineering and Living Materials, and Complex Materials. NSF funds are used to partially cover the registration of US presenters and participants in the GRC and GRS.<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.

05/21/2024

05/21/2024

None

Grant

47.049

1

4900

4900

2419911

{'FirstName': 'Cole', 'LastName': 'DeForest', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cole A DeForest', 'EmailAddress': 'profcole@uw.edu', 'NSF_ID': '000670320', 'StartDate': '05/21/2024', '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': '762300', 'Text': 'BIOMATERIALS PROGRAM'}

2024~10000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419911.xml'}

I-Corps: Translation Potential of Real-time, Ultrasensitive Electrical Transduction of Biological Binding Events for Pathogen and Disease Detection

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

The broader impact/commercial potential of this I-Corps project is the development of epitaxial graphene based diagnostic and screening devices to address the current lack of rapid, selective, and sensitive screening tools for pathogens, like severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), necessary to contain this and future pandemics. There is also a lack of point-of-care detection technologies that could help mitigate the spread of pathogens, ideally before a person becomes infectious. The potential advantage of our biosensor is it is reusable, with greater speed and sensitivity compared to existing commercial products and also technology found in recent literature. It can also detect pathogens in human breath, enabling rapid, non-invasive screening not possible by conventional technology. Applying this technology to pathogen detection, where rapid deployment and immediate results are critical to pandemic mitigation, endemic pathogens, where outbreaks can threaten vulnerable members of the population, and pathogens and ailments where detection is difficult due to few circulating biomarkers such as cancer and bacteria. Overall, the broad applicability of these biosensors in non-invasive medical screening has the potential to significantly impact human health and public safety.&lt;br/&gt;&lt;br/&gt;This I-Corps project utilizes experiential learning coupled with first-hand investigation of the industry ecosystem to assess the translation potential of the proposed technology. It is based on the prior development of rapid, selective, and ultrasensitive electrical-based screening and diagnostic tools for detecting viruses and bacteria without the need for sample preparation, expensive laboratory equipment, or specialized personnel. This innovative approach focuses on harnessing the properties of quasi-freestanding epitaxial graphene (QEG) on silicon carbide (SiC) in conjunction with immobilized biomarkers, enabling pathogen detection. This device aims to overcome the limitations of current diagnostic technologies, particularly in terms of speed, selectivity, sensitivity, and cost-effectiveness, through a novel polarization-induced strain mechanism unique to QEG. This platform enables the transduction of antibody/antigen systems and protease/peptide, enabling ultrasensitive and rapid screening of pathogens and diseases.&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.

04/01/2024

04/01/2024

None

Grant

47.084

1

4900

4900

2419915

{'FirstName': 'Kevin', 'LastName': 'Daniels', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin M Daniels', 'EmailAddress': 'danielkm@umd.edu', 'NSF_ID': '000768936', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'StateCode': 'MD', 'ZipCode': '207425100', 'StreetAddress': '3112 LEE BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}

{'Code': '8023', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419915.xml'}

I-Corps Teams: Development of Flow Sensors for Fluid Dynamics Applications

NSF

05/15/2024

04/30/2025

{'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/commercial potential of this I-Corps project is based on the development of an innovative flow sensor system designed to measure fluid flow speed. Currently, most sensors rely on mechanical devices that are large in size and measure via rotation, which can disrupt flow rates in pipes. However, the rising demand for miniaturized and rapidly responsive sensors has resulted in new innovations in flow sensing technology. The sensor system investigated in this project incorporates miniaturization technology, swift detection of minor variations in fluid flow, and automated data collection. With smaller size, greater functionality, and multiplex design, these sensors ensure continuous data collection even in the event of a device malfunction. The solution is also effective for measuring high-speed performance, such as applications in aerospace, introducing the potential for advanced systems with superior functionalities. These advances not only address current market needs but also open new market opportunities in fluid flow sensing including gas transport systems, aerospace vehicles, and domestic water flow sensing. <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 innovative flow sensor technology tailored for fluid dynamics applications. This innovation enables rapid sensing of fluid flow through miniaturized devices. The technology introduces the design and fabrication of a novel thin film-based piezoresistive device capable of detecting fluid flow velocity. The manufacturing process involves coating two-dimensional nanomaterials onto a microfabricated sensor substrate and signal collection, offering advantages such as batch processing capability, array device fabrication, and integration with state-of-the-art integrated circuit manufacturing processes. This sensor system's versatility in a wide temperature range opens up numerous industrial applications, including gas transport systems, aerospace vehicles, and domestic water flow sensing. The ability to function in motionless mechanical environments enhances reliability and durability under hazardous conditions like elevated temperatures and corrosion. The technological novelty lies in the use of two-dimensional nanomaterials, significantly improving sensing properties and providing substantial sensitivity.<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.

05/06/2024

05/06/2024

None

Grant

47.084

1

4900

4900

2419922

{'FirstName': 'Ahalapitiya', 'LastName': 'Jayatissa', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ahalapitiya H Jayatissa', 'EmailAddress': 'ajayati@utnet.utoledo.edu', 'NSF_ID': '000297988', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Toledo', 'CityName': 'TOLEDO', 'ZipCode': '436063328', 'PhoneNumber': '4195302844', 'StreetAddress': '2801 W BANCROFT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'OH09', 'ORG_UEI_NUM': 'XA77NAJYELF1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TOLEDO', 'ORG_PRNT_UEI_NUM': 'EWRDP9YCDDH5'}

{'Name': 'University of Toledo', 'CityName': 'TOLEDO', 'StateCode': 'OH', 'ZipCode': '436063328', 'StreetAddress': '2801 W BANCROFT ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'OH09'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2419922.xml'}

BII: Life without water: protecting macromolecules, cells, and organisms during desiccation and rehydration across kingdoms of life

NSF

10/01/2023

07/31/2027

{'Value': 'Cooperative Agreement'}

{'Code': '08080000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DBI', 'LongName': 'Div Of Biological Infrastructure'}}

{'SignBlockName': 'Wilson Francisco', 'PO_EMAI': 'wfrancis@nsf.gov', 'PO_PHON': '7032927856'}

Life on Earth evolved in the oceans and consequently all life on our planet is composed mostly of water. When life moved out of the ocean, surviving environments with limited water became a necessity. One approach to survive this new extreme, that is present across all kingdoms of life, is to dry out, or desiccate, while waiting for water to return. Tolerating desiccation requires coordination across cells, tissues, and organisms, but the details of how this happens are unknown. The Water and Life Interface Institute (WALII) Biology Integration Institute will fill in these gaps using fungi, plants, and animals with low and high desiccation tolerance. The long-term goals of this Institute are understanding how organisms tolerate desiccation, inventing technologies, and concepts for working in low-water environments, engineering proteins, cells, and organisms to increase desiccation tolerance, and building a national community of desiccation scientists. Research at WALII will impact society by finding new, desiccation-tolerance-based strategies for crop loss prevention, developing dry storage solutions for storing medicines currently stored cold, and mitigating ongoing decreases in species diversity. Establishing a national, integrated research community requires an expert, multidisciplinary workforce, and integration with the public. To that end, the WALII training programs will support career development for over 100 scientists from diverse backgrounds at all career stages, and its outreach initiatives will invite the public to join WALII’s scientists in desiccation tolerance experiments.<br/><br/>Concepts and tools in life sciences have been made primarily in the context of fully hydrated systems. WALII will study the interaction of life and water across timescales and hydration states in diverse organisms, using four intertwined themes: 1) Physical and molecular determinants of desiccation tolerance; 2) Molecular and cellular rehydration responses across the continuum of desiccation sensitivity; 3) The role(s) of intrinsically disordered proteins in conferring desiccation tolerance; and 4) Short- and long-term evolutionary histories of desiccation tolerance. The multiscale, transdisciplinary studies of anhydrobiosis at WALII aim to ignite a transformative new field of solid-state biology, focused first on modeling function and dysfunction of biomolecules, cells, tissues, and organisms under desiccation stress. New methods and approaches will be essential, including better protocols for seedbank preservation and stabilizing plant sexual reproduction, better water-resistant materials and water-retention strategies, and sensitive in vivo tools for sensing and manipulating cellular responses to desiccation. WALII combines the expertise of researchers from several disciplines such as biophysics, cell biology, computational biology, desiccation tolerance, evolutionary biology, ecology, genetics, and plant, animal, seed, fungal, and pollen physiology and diverse organizations such as non-profit research institutes, universities, Hispanic Serving Institutions, and Primarily Undergraduate Institutions.<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.

02/20/2024

02/20/2024

None

CoopAgrmnt

47.074

1

4900

4900

2419923

{'FirstName': 'Seung', 'LastName': 'Rhee', 'PI_MID_INIT': 'Y', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Seung Y Rhee', 'EmailAddress': 'rheeseu6@msu.edu', 'NSF_ID': '000172699', 'StartDate': '02/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}