cometadata/test-preprints-extracted-funding huggingface dataset:
Y.-F. Niu and W.-L. Lv acknowledge the support of the National Natural Science Foundation of China (Grant No. 12075104), the Young Scientist Scheme of the National Key R&amp;D Program of China (Contract No. 2021YFA1601500), and the Fundamental Research Funds for the Central Universities (Grant No. lzujbky-2021-it10). D.-L. Fang acknowledges the support of the National Key R&amp;D Program of China (Contract No. 2021YFA1601300), and the 'Light of West' program and 'from zero to one' program by CAS. J.-M. Yao is partially supported by the National Natural Science Foundation of China (Grant No. 12141501) and the Fundamental Research Funds for the Central Universities, Sun Yat-sen University. C.-L. Bai acknowledges the support of the National Natural Science Foundation of China (Grants No. 11575120 and No. 11822504). J. Meng acknowledges the support of the National Key R&amp;D Program of China (Contract No. 2018YFA0404400), and the National Natural Science Foundation of China (Grants No. 11935003, No. 12070131001, and No. 12141501).
We acknowledge the financial support of BMW AG, Digital Campus Munich (DCM), through the ProMotion program. This project was also funded by the Basque Government: KK2020/00049 project through ELKARTEK program, and the BERC 2022-2025 program. The Spanish Ministry of Science, Innovation and Universities is also acknowledged for its support through project PID2019-104966GB-I00 and through BCAM Severo Ochoa excellence accreditation CEX2021-001142-S/MICIN/AEI/10.13039/501100011033.
This work was performed using the resources available at the Pacific Northwest National Laboratory (PNNL) and funded by the Mathematics for Artificial Reasoning in Science (MARS) Initiative as a Laboratory Directed Research and Development Project. KSK thanks Scott Whalen, Md. Reza-E-Rabby, Tianhao Wang, Scott Taysom and Timothy Roosendaal for the ShAPE AA7075 tubes synthesis and property data. KSK also appreciates Woongjo Choi for their contributions to data arrangement; Tianhao Wang, Xiaolong Ma, and Alan Schemer-Kohrn for developing the SEM images of the ShAPE AA7075 tubes; and Luke Gosink, Elizabeth Jurrus, and Sam Chatterjee for their support and advice on this project. PNNL is a multi-program national laboratory operated by Battelle Memorial Institute for the U.S. Department of Energy under contract DE-AC05-76RL01830.
This work was supported by the National Key Research and Development Program of China under Grants { 2020YFA0711300, 2020YFA0711303 } and the National Natural Science Foundation of China under Grants { 61941102 } . Z. Feng, Z. Wei, Xu Chen, Heng Yang and Qixun Zhang are with Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing 100876, P. R. China (Email: { fengzy, weizhiqing, chenxu96330, yangheng, zhangqixun } @bupt.edu.cn).
K. Negi would like to thank the University Grants Commission(UGC), India, for Research Fellowship with NTA Ref.No.191620008047. M. Prabhakar acknowledges the support given by the Science and Engineering Board(SERB), Department of Science &amp; Technology, Government of India under grant-in-aid Mathematical Research Impact Centric Support(MATRICS) with F.No.MTR/2021/00394. This work was partially supported by the FIST program of the Department of Science and Technology, Government of India, Reference No. SR/FST/MS-I/2018/22(C), and was supported by JSPS KAKENHI Grant Number JP19H01788.
The authors thank Matteo Fadel for calculating the effective mass of the mechanical modes, Maxwell Drimmer for his comments on the manuscript, Uwe von L¨ upke for assisting in the initial phase of the project, Mona-Lisa Michel for work on the characterizing the vibration isolation stage, and Liu Qiu, Prash Kharel, Peter Rakich, David H¨ alg, Thomas Gisler, Andrei Militaru and Johannes Piotrowski for helpful discussions. We are grateful for support by the laboratory support group at the ETHphysics department, as well as the mechanical workshop and design department for help with our cavity design and micromachining. H.M.D. was supported by an Rubicon grant (project no. 019.193EN.011) by the Dutch Research Council (NWO) for the duration of this project. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 948047).
We thank the anonymous reviewer for their thoughtful comments and suggestions that have improved the quality of this work. We acknowledge use of the lux supercomputer at UC Santa Cruz, funded by NSF MRI grant AST 1828315. This work benefited from the 2022 Exoplanet Summer Program in the Other Worlds Laboratory (OWL) at the University of California, Santa Cruz, a program funded by the Heising-Simons Foundation. MRL acknowledges support from NASA XRP grant 80NSSC19K0293. JJF acknowledges support from NSF Award Number:1909776 and NASA Award Number: 80NSSC22K0142 as well as the Simons Foundation.
Acknowledgements. This work was funded in part by the grant ANR-21-CE39-0009-BARRACUDA from the French National Research Agency. The first and the third authors are supported by the French government 'Investissements d'Avenir' program ANR-11-LABX-0020-01. Through the LMB, the second author received support from the EIPHI Graduate School (contract ANR-17EURE-0002).
S.G. and M.Bar. would like to acknowledge Dr. Claudio Quarti for useful discussions. We are grateful to H. Burg and R. Berger for conducting scanning force microscopy (SFM) measurements. This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant No 811284. J.H., K.B. and F.S. acknowledge funding by the German Research Fundation (BR4869/4-1 and SCHR 700/40-1). G.S. acknowledges financial support from the Francqui Foundation (Francqui Start-Up Grant). Y.H.G. is thankful to the FNRS for financial support through research projects Pi-Fast (No T.0072.18) and Pi-Chir (No T.0094.22). J.J.G. gratefully acknowledges support from the Alexander von Humboldt Foundation. The work in Mons has been funded by the Belgian National Fund for Scientific Research (FRS-FNRS) within the Consortium des Équipements de Calcul Intensif (CÉCI), under Grant 2.5020.11, and by the Walloon Region (ZENOBE Tier-1 supercomputer), under grant 1117545. G.S. is a FNRS Research Associate. D.B. is a FNRS research director.
Notice: This manuscript has been authored by UT-Battelle, LLC, under Contract No. DEAC0500OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for the United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
This work was supported by the Energy Frontier Research Centers program: CSSAS-The Center for the Science of Synthesis Across Scales-under Award Number DE-SC0019288, located at the University of Washington, and the modeling and process optimization by the US Department of Energy Office of Science under the Materials Sciences and Engineering Division of the Basic Energy Sciences program. The Bayesian optimization and Deep Kernel Learning research was supported by the Center for Nanophase Materials Sciences (CNMS) which is a US Department of Energy, Office of Science User Facility at Oak Ridge National Laboratory.
This work received partial funding by the by the IMPRS Elemental Processes in Physical Chemistry , the German Research Foundation (DFG) through the CRC 1404 (FONDA), Projektnummer 414984028, and the Max-Planck Graduate Center for Quantum Materials. The NOMAD Center of Excellence, grant agreement Nº 951786 under the Union's Horizon 2020 research and innovation program is appreciated. The hyper-parameter search for the QRF models in this work were conducted with computing resources under the project bep00098.
The work of HN is supported in part by CNPq grant 301491/2019-4 and FAPESP grants 2019/21281-4 and 2019/13231-7. HN would also like to thank the ICTP-SAIFR for their support through FAPESP grant 2016/01343-7. The work of J.S was supported by a center of excellence of the Israel Science Foundation (grant number 2289/18).
AC07-05ID14517. J. Li and Q-J. Li also acknowledge support by NSF CMMI-1922206.
This work was supported by the Laboratory Directed Research &amp; Development Program at Idaho National Laboratory under the Department of Energy (DOE) Idaho Operations Office (an agency of the U.S. Government) Contract DE-AC07-05ID145142. This research made use of Idaho National Laboratory computing resources which are supported by the Office of Nuclear Energy of
† Univ Gustave Eiffel, Univ Paris Est Creteil, CNRS, LAMA UMR8050 F-77447 Marne-la-Vallée, France. Email: lampros.gavalakis@univ-eiffel.fr . L.G. was supported in part by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 101034255 /star /star /star /star /star /star /star /star /star /star /star /star and by the Bézout Labex, funded by ANR, reference ANR-10-LABX-58.
‡ Statistical Laboratory, DPMMS, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WB, U.K. Email: yiannis@maths.cam.ac.uk . I.K. was supported in part by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the 'First Call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant,' project number 1034.
∗ Department of Computing, Imperial College, London SW7 2AZ, U.K., and Institute for Quantum Information, RWTH Aachen University, Aachen, Germany. Email: berta@physik.rwth-aachen.de . M.B. acknowledges funding by the European Research Council (ERC Grant Agreement No. 948139).
The authors would like to acknowledge the OHDSI community for providing extensive documentation of the CDM and releasing the OMOP data analytics tools. This project was supported by the University of Pittsburgh School of Health and Rehabilitation Sciences and the National Institutes of Health through Grant Numbers UL1TR001857 and U24TR004111 (SV, NC, BM, JCS, MJB, YW). The Neptune data warehouse is supported by the National Center for Advancing Translational Sciences, The Center for Disease Control and National Institute for Occupational Safety and Health, NIH Common Fund and The Patient Centered Outcome Research Institute Clinical Research Network ( UL1TR001857 , RI-CRN-2020-006, OT2OD026554 and 5U24 OH009077 - to MJB, JCS, SV). The funders had no role in the design of the study, and collection, analysis, and interpretation of data and in preparation of the manuscript. The views presented in this report are not necessarily representative of the funder's views and belong solely to the authors.
This research made use of TARDIS , a communitydeveloped software package for spectral synthesis of SNe (Kerzendorf &amp; Sim 2014; Kerzendorf et al. 2022). The development of TARDIS received support from GitHub, the Google Summer of Code initiative, and ESA's Summer of Code in Space program. TARDIS is a fiscally sponsored project of NumFOCUS. TARDIS makes extensive use of Astropy and Pyne.
This research was funded by HST grants AR-14259 and GO-16656 from the Space Telescope Science Institute (STScI), which is operated by the Association of Universi-
ties for Research in Astronomy (AURA), Inc., under NASA contract NAS5-26555. Additional generous financial support was provided to A.V.F.'s supernova group at U.C. Berkeley by Gary and Cynthia Bengier, Alan Eustace, Sunil Nagaraj, Steven Nelson, Landon Noll, Sandy Otellini, Christopher R. Redlich, Sanford Robertson, Clark and Sharon Winslow, Frank and Kathleen Wood, and other individual donors. C.V. was supported for part of this work by the Excellence Cluster ORIGINS, which is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy-EXC-2094-390783311. G.S's research was supported through the Cal NERDS and UC LEADS programs.
The authors would like to thank the anonymous reviewers for their valuable comments and suggestions. This project is supported by National Science Foundation under Grant OAC1931408 and under Cooperative Agreement OAC-1836650. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and by the LLNLLDRD Program under Project No. 20-ERD-043. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-CONF-841475).
Data were processed in digital labs at HUNT Cloud, Norwegian University of Science and Technology, Trondheim, Norway. FB is supported by the National Institute for Health Research (NIHR) biomedical research centre at UCLH. The PICTURE project is sponsored by an unrestricted grant of Stichting Hanarth fonds, 'Machine learning for better neurosurgical decisions in patients with glioblastoma'; a grant for public-private partnerships (Amsterdam UMC PPP-grant) sponsored by the Dutch government (Ministry of Economic Affairs) through the Rijksdienst voor Ondernemend Nederland (RVO) and Topsector Life Sciences and Health (LSH), 'Picturing predictions for patients with brain tumors'; a grant from the Innovative Medical Devices Initiative program, project number 10-10400-96-14003; The Netherlands Organisation for Scientific Research (NWO), 2020.027; a grant from the Dutch Cancer Society, VU2014-7113 and the Anita Veldman foundation, CCA2018-2-17. R.H.H. is supported by a grant from The Research Council of Norway, grant number 323339. D.B., I.R., and O.S. are partly funded by the Norwegian National Research Center for Minimally Invasive and Image-Guided Diagnostics and Therapy.
The first author acknowledges support from the Centre of Mathematics of the University of Porto, which is financed by national funds through the Funda¸ c˜ ao para a Ciˆ encia e a Tecnologia, I.P., under the project with references UIDB/00144/2020 and UIDP/00144/2020.
The second author acknowledges support from the Centre of Mathematics of the University of Porto, which is financed by national funds through the Funda¸ c˜ ao para a Ciˆ encia e a Tecnologia, I.P., under the project with reference UIDB/00144/2020.
The third author was supported by the Engineering and Physical Sciences Research Council, grant number EP/T017619/1.
John Chandler provided data quality checks via data-model comparisons. Liliane Biskupek and Vishnu Viswanathan shared and helped to interpret data from other LLR observatories, including OCA. This work is based on access to and observations with the Apache Point Observatory 3.5-meter telescope, which is owned and operated by the Astrophysical Research Consortium. The avalanche photodiode detectors were provided by Lincoln Laboratory. This work was jointly funded by the National Science Foundation (PHY-0602507, PHY-1068879, PHY-1404491 and PHY-1708215) and the National Aeronautics and Space Administration (NNG04GD48G, NAG81756, NNX12AE96G, NNX15AC51G and 80NSSC18K0482). JBRB acknowledges the support of the NASA
The SNSPOL project is supported by the National Science Foundation under awards AST-1210599 to the University of Arizona, AST-1210372 and AST-2009996 to the University of Denver, and AST-1210311 and AST-2010001 to San Diego State University. N.S. received additional support from NSF grants AST-1312221 and AST-1515559, and by a Scialog grant from the Research Corporation for Science Advancement. Research by D.J.S. is supported by NSF grants AST-1821967, 1821987, 1813708, 1813466, 1908972, and by the Heising-Simons Foundation under grant #2020-1864. P.S. was supported by NASA/Fermi Guest Investigator Program grants NNX09AU10G, NNX12AO93G, and NNX15AU81G. D.C.L. acknowledges support from NSF grants AST-1009571 and AST-1210311, under which part of this research was carried out. J.L.H. acknowledges that the University of Denver resides on the ancestral territories of the Arapaho, Cheyenne, and Ute, and that its history is inextricably linked with the violent displacement of these indigenous peoples. This paper made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. This paper made use of data from Pan-STARRS1 acquired after May 2014. Operation of the Pan-STARRS1 telescope is supported by the National Aeronautics and Space Administration under Grant No. NNX12AR65G and Grant No. NNX14AM74G issued through the NEO Observation Program.
The authors would like to thank P Cheinet, F Le Kien, S Lepoutre and K. Mølmer for very insightful discussions, K Karlsson and M Ozer for technical assistance, Y Saleh for contributions to data collection, the Nanofabrication Section for Scanning Electron Microscope access, and Mechanical Engineering Section of the Research Support Division at Okinawa Institute of Science and Technology Graduate University.
This research is supported by Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan and Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research (C) under Grants No. 19K05316 and No. 20K03795 and Grant-in-Aid for Scientific Research (Early Career) No. 22K13986. Investments for the Future from LabEx PALM (ANR-10-LABX-0039-PALM). Danish National Research Foundation through the Center of Excellence 'CCQ' (Grant agreement no.: DNRF156).
Acknowledgements. CK was partly supported by a Lichtenberg Professorship of the VolkswagenStiftung. CK was also supported by a DFG Sachbeihilfe grant 444753754. IPL was partly supported by UKRI under the grant agreement EP/X027651/1, by the European Union's Horizon 2020 research and innovation programme under the Marie Skglyph[suppress] lodowska-Curie grant agreement No 754462, by MICIIN/FEDER project PID2021-125446NB-I00, by TUM International Graduate School of Science and Engineering (IGSSE) and by the University of Valladolid under project PIPTCESC-2020. CK and IPL also acknowledge partial support of the EU within the TiPES project funded by the European Unions Horizon 2020 research and innovation programme under grant agreement No. 820970.
This work was partially supported by the 'Pioneer' and 'Leading Goose' R&amp;D Program of Zhejiang (Grant No. 2022C01082), the National Natural Science Foundation of China (No.62206012, No.62122011, U21A20514), and the China Postdoctoral Science Foundation (Grand No. 2021M700346), and the Natural Science Foundation of Zhejiang province (No. Q23F020065), and the Fundamental Research Funds for the Central Universities. glyph[star] Corresponding author. Email: xuzhenbo@mail.ustc.edu.cn, xu@buaa.edu.cn
The authors are members of Gruppo Nazionale per l'Analisi Matematica, la Probabilit` a e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM), and of the Center CAMRisk at the Department of Economics and Management of the University of Pavia. Moreover they gratefully acknowledge financial support through the projects CUP -E55F22000270001 and CUP -E53C22001930001.
The authors wish to acknowedge insightful discusions with Supriyo Datta. The author BM wishes to acknowledge the support by the Science and Engineering Research Board (SERB), Government of India, Grant No. CRG/2021/003102, and the Ministry of Human Resource Development (MHRD), Government of India, Grant No. STARS/APR2019/NS/226/FS under the STARS scheme. The authors SM and BM acknowledge support of the Dhananjay Joshi Foundation under an Endowment to IIT Bombay.
The authors are grateful to Prof. J. Carlos Penedo for his advice and technical support on singlemolecule microscopy and for providing the related laboratory facilities at the early stages of this project. This work was supported by the Volkswagen Foundation (No. 93404) and the DFG-funded Research Training Group 'Template-Designed Organic Electronics (TIDE)', RTG2591. M.C.G. acknowledges support from the Alexander von Humboldt Stiftung through the Humboldt-Professorship. A.M. acknowledges funding from the European Union's Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement No. 101023743 (PolDev).
The work has been supported in part by the National Science Foundation CNS-1955004, 1954780, 2148132, 2211616, 1955075, 1923782, 1824529, and 2148132, and the US Air Force Office of Scientific Research Award FA9550-23-1-0254 and FA9550-22-1-0412, and the Army Research Laboratory grant W911NF-19-2-0269. H. Guerboukha also gratefully acknowledges support from Fonds de recherche du Quebec - Nature et technologies.
We thank the referee for constructive comments that helped improving the paper. Based on observations collected at the European Southern Observatory under ESO programme 1101.A-0127. Funded by the European Union (ERC, AGENTS, 101076224). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. GP acknowledges support from the Netherlands Research School for Astronomy (Nederlandse Onderzoekschool Voor Astronomie, NOVA). JB acknowledges financial support from the Fundação para a Ciência e a Tecnologia (FCT) through national funds PTDC/FIS-AST/4862/2020, work contract 2020.03379.CEECIND, and research grants UIDB/04434/2020 and UIDP/04434/2020. TU and LW acknowledge funding by the European Research Council through ERC-AdG SPECMAP-CGM, GA 101020943. TG is supported by the ERC Starting grant 757258 'TRIPLE'.
The authors would like to thank Dr. Seng-Beng Ho and Mr. Jikai Ye for useful discussions. This work was supported by NUS Startup grants A-0009059-02-00, A-0009059-03-00, CDE Board account E-465-00-0009-01, National Research Foundation, Singapore, under its Medium Sized Centre Programme - Centre for Advanced Robotics Technology Innovation (CARTIN), sub award A-0009428-08-00 and AME Programmatic Fund Project MARIO A-0008449-01-00. The ideas expressed in this paper are solely those of the authors.
This work is supported by National Science Foundation Division of Materials Research (Grant no. DMR1826623, DMR-2224030) and the National Science Foundation Center for Theoretical Biological Physics (Grant No. PHY-2019745).
We thank Matteo d'Este for the kind gift of Tyraminemodified HA and M. Fenu and G. van Osch for useful discussions on the experiments. IM and GHK acknowledge funding from the Convergence programme Syn-Cells for Health(care) under the theme of Health and Technology.
The author would like to thank Sasha Philippov, Anatoly Spitkovsky, Jean-Luc Vay, Stefano Markidis, Giuseppe Arr` o, and Giovanni Lapenta for useful discussions and suggestions throughout the development of this work. F.B. acknowledges support from the FEDtWIN programme (profile Prf-2020-004, project 'ENERGY') issued by BELSPO. The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation Flanders (FWO) and the Flemish Government - department EWI. This work was performed in part at Aspen Center for Physics, which is supported by National Science Foundation grant PHY1607611.
We thank the Columbia Lensing group ( http: //columbialensing.org ) for making their simulations available. B.D. thanks Xiangchong Li for helpful discussions on wavelet transform. This work is supported by U.S. Department of Energy, O ffi ce of Science, O ffi ce of Advanced Scientific Computing Research under Contract No. DE-AC02-05CH11231 at Lawrence Berkeley National Laboratory to enable research for Data-intensive Machine Learning and Analysis.