cometadata/test-preprints-extracted-funding huggingface dataset:
The authors gratefully acknowledge Kassidy Kollmann, Sandip Roy, and Adriana Dropulic for helpful conversations. ML and DF are supported by the Department of Energy (DOE) under Award Number DE-SC0007968. ML and OS are supported by the Binational Science Foundation (grant No. 2018140). ML also acknowledges support from the Simons Investigator in Physics Award. OS is also supported by the NSF (grant No. PHY-2210498) and acknowledges support from the Yang Institute for Theoretical Physics. ML and OS acknowledge the Simons Foundation for support. MK is supported by the NSF (grant No. PHY-2210283). This work was performed in part at Aspen Center for Physics, which is supported by National Science Foundation grant PHY-2210452.
The work presented in this paper was also performed on computational resources managed and supported by Princeton Research Computing. This research made extensive use of the publicly available codes IPython (Pérez &amp; Granger 2007), matplotlib (Hunter 2007), scikit-learn (Pedregosa et al. 2011), Jupyter (Kluyver et al. 2016), NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), and astropy (Astropy Collaboration et al. 2022).
Foundation (NSF) grant number OAC 1920103, and the Purdue Anvil CPU cluster [120]. C.L. acknowledges support from the Connecticut Sea Grant PD-23-07.
The authors are grateful to two anonymous referees for their detailed comments which have led to a significant improvement of this manuscript, to Keith Julien and Alexis Kaminski for their comments on an earlier version of this manuscript, to Keith Julien for suggesting the remapping to a square, and to Corentin Herbert for pointing out the Reynolds number dependence of the variance of the total kinetic energy. L.X. was supported by the Physics Innovators Initiative (Pi 2 ) Summer Scholars Program, the Berkeley Physics Undergraduate Research Scholars Program (BPURS), and the Berkeley Physics Undergraduate Student Travel Scholarship in the UC Berkeley Physics Department. This work was supported by the National Science Foundation (Grants DMS-2009563, DMS-2308337, and OCE-2023541) and by the German Research Foundation (DFG Projektnummer: 522026592). The simulations described here were partly performed on the Savio computational cluster resource provided by the Berkeley Research Computing program at the University of California, Berkeley (supported by the UC Berkeley Chancellor, Vice Chancellor for Research, and Chief Information Officer). This project was also supported by the NSF ACCESS program (project number: PHY230056), allowing us to utilize the Advanced Research Computing at the Johns Hopkins (ARCH) core facility (rockfish.jhu.edu), which is supported by the National Science
The work was supported by the Russian Science Foundation under the Grant #23-49-10044 (https://rscf.ru/project/23-49-10044/). Convergence verification in k-points density and cut-off energy for ab initio calculations were performed on HPC-cluster 'Akademic V.M. Matrosov' (Irkutsk Supercomputer Center of SB RAS, https://hpc.icc.ru). Calculation of frequency-dependent dielectric constants was performed using the equipment of Shared Resource Center 'Far
D.J. and K-H.K acknowledge primary funding support by the Air Force Office of Scientific Research (AFOSR) GHz-THz core program FA9550-23-1-0391. S.S. acknowledges support from the Fulbright-Nehru fellowship by United States-India Education Foundation (USIEF). S.S. also acknowledges partial support from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska -Curie grant agreement No 899987. D.J. and K.J. acknowledge partial support from the Asian Office of Aerospace Research and Development (AOARD) of the AFOSR FA2386-20-1-4074 and FA2386-21-1-4063. K.J. acknowledges partial support from the Vagelos Institute of Energy Science and Technology Graduate Fellowship. Work by B.K. is supported by the U.S. Office of Naval Research (ONR) through grant N00014-20-1-2325 on Robust Photonic Materials with High-Order Topological Protection. R. O. acknowledges support from the NSF CAREER Award (1944248). N.T. acknowledges support from the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE1255832. The MOCVD WSe2 samples were provided by the 2D Crystal Consortium Materials Innovation Platform (2DCC-MIP) facility at Penn State which is funded by NSF under cooperative agreement DMR-2039351. Microfabrication and electron microscopy was performed at the Singh Center for Nanotechnology, supported by the NSF National Nanotechnology Coordinated Infrastructure Program (NNCI-1542153). The authors acknowledge the use of facilities and instrumentation supported by NSF University of Pennsylvania Materials Research Science and Engineering Center (MRSEC) (DMR-1720530).
We would like to thank Maxim Khodas, Alex Levchenko and Dima Pesin for their interest in this work and useful discussions. We gratefully acknowledge the financial support by the National Science Foundation grant NSF-DMR-2002795 (Y. L. and M. D.) This project was started during the Aspen Center of Physics 2023 Summer Program on ' New Directions on Strange Metals in Correlated Systems ', which was supported by the National Science Foundation Grant No. PHY-2210452.
This work was supported in part by the Korea Medical Device Development Fund grant funded by the Korea government (the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, the Ministry of Health &amp; Welfare, Republic of Korea, the Ministry of Food and Drug Safety) (Project Number: 202011A01) and in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Project Number: 2021R1A6A3A14039529).
S. K and B.J.Y. were supported by the Institute for Basic Science in Korea (Grant No. IBS-R009-D1), Samsung Science and Technology Foundation under Project Number SSTF-BA2002-06, and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A2C4002773, and No. NRF-2021R1A5A1032996).
V.M.P., Yiping Wang, B.S., M.R., G.M., and K.S.B. acknowledge the primary support of the US Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences under award number DE-SC0018675. F.T. and X.Y. acknowledge support from the US Department of Energy, Office of Basic Energy Sciences, Division of Physical Behavior of Materials under Award No. DE-SC0023124. Yaxian Wang acknowledges funding support from the Chinese Academy of Sciences (Nos. YSBR047 and E2K5071). J. Y. C. and G.T.M acknowledge support from the National Science Foundation under the award number NSF/DMR-2209804 and the Welch Foundation under the award number AA-2056-20220101. The National High Magnetic Field Laboratory is supported by the National Science Foundation through NSF/DMR-1644779 and NSF/DMR-2128556 and by the State of Florida.
We thank Dimitris Papoulias and Omar Miranda for very fruitful discussions. This work was supported by the Spanish grants PID2020-113775GBI00 (MCIN/AEI/10.13039/501100011033), CIPROM/2021/054 and CIAPOS/2022/254 (Generalitat Valenciana). R.R.R. has received support from the Coordena¸ c˜ ao de Aperfei¸ coamento de Pessoal de N´ ıvel Superior - Brasil (CAPES) - Finance Code 001.
This material is based upon work supported by the National Research Foundation of Korea (NRF2019R1A2C2002864, RS-2023-00218180). This work also was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344. We extend our deepest gratitude to Richard W. Lee and William L. Morgan, whose pioneering work two decades ago laid the foundational stones for our exploration into the impact of non-thermal electrons on NLTE kinetics.
This work is supported by the Critical Materials Innovation Hub, an Energy Innovation Hub funded by the US Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Materials and Manufacturing Technologies Office. The Ames National Laboratory is operated for the U.S. Department of Energy by Iowa State University of Science and Technology under Contract No. DE-AC02-07CH11358. GNN acknowledges support from the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists, Office of Science Graduate Student Research (SCGSR) program. The SCGSR program is administered by the Oak Ridge Institute for Science and Education for the DOE under contract number DE-SC0014664.
Supported by the National Research, Development and Innovation Fund of Hungary (PD134324 to KN and K109486, K135231, FK137867, NKP-2018-1.2.1-NKP-2018-00005, 2022-1.2.2-TÉTIPARI-UZ-2022-00003 to BGV), and the TKP2021-EGA-02 grant, implemented with the support provided by the Ministry for Innovation and Technology of Hungary from the National Research, Development and Innovation Fund. KN was also supported by the Parents Back to Science program of the Budapest University of Technology and Economics (BME) and the ÚNKP-20-4 (ÚNKP-20-4-II-BME-311) New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund. VG was partially funded by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, under the ELTE TKP 2021-NKTA-62 funding scheme.
The work of I.M.F, S.A.D. and N.A.G. was supported by the Russian Science Foundation (Grant No. 22-1200351). The work of A.A.D. and V.D.K. was supported by the Russian Science Foundation (Project No. 1972-30003). The work of A.V.K. was supported by the Ministry of Science and Higher Education of the Russian Federation, STATE TASK No. 075-01304-23-00. We acknowledge support of Republic of Bashkortostan grant NOC-RMG-2021. V.N.A. acknowledges support of Skoltech Next Generation Program, grant number 1NGP-1064. I.M.F. acknowledges support by the Foundation for the Advancement of Theoretical Physics and Mathematics 'BASIS' on the early stage of this work.
We would like to thank Tomoyasu Mani for providing data for the experimental absorption and emission spectra for BD-An and for his comments on the manuscript. We would also like to thank Zachariah Page for a useful discussion, and his suggestion of triplet anti-Kasha's rule photochemistry. T.P.F. and D.T.L. were supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, CPIMS Program Early Career Research Program under Award DEFOA0002019.
NMacknowledges support from Canadian Space Agency grant 18JWST-GTO1. This research used the Canadian Advanced Network For Astronomy Research (CANFAR) operated in partnership by the Canadian Astronomy Data Centre and The Digital Research Alliance of Canada with support from the National Research Council of Canada the Canadian Space Agency, CANARIE and the Canadian Foundation for Innovation. NM, MB, AH and GR acknowledge support from the ERC Grant FIRSTLIGHT and from the Slovenian national research agency ARRS through grants N1-0238 and P1-0188. MB acknowledges support from the program HST-GO-16667, provided through a grant from the STScI under NASA contract NAS5-26555.
This research and data collection has been supported by the Research Council of Norway grants ENTIRE (no. 324227), SFI BLUES (no. 309281) and Havvarsel (no. 310515), as well as by the Norwegian Coastal Administration. P.B. gratefully acknowledges funding through the project COSY - Coastal Operational and Sustainable use of satellite altimetrY , funded by the Norwegian Space Center under grant 74CO2222.
Dimitri Cobb is supported by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Project ID 211504053 - SFB 1060
Martin Donati's work has been supported by the Simons fundation project on Wave Turbulence, and the ENS de Lyon.
This work was supported by the BOURGEONS project, grant ANR-23-CE40-0014-01 of the French National Research Agency (ANR).
Manuscript received December XX, 2023; revised December XX, 2023; accepted December XX, 2023. This study is supported by the National Natural Science Foundation of China (62202477, 62173337, 21808181, 72071207), and Youth Independent Innovation Foundation of NUDT (ZK-2023-21). ( Wansen Wu and Weiyi Yang contributed equally to this work .)( Corresponding author: Yong Peng and Fei-Yue Wang ).
Anne Driemel : Affiliated with Lamarr Institute for Machine Learning and Artificial Intelligence. Benedikt Kolbe : Partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 459420781.
Funding Jacobus Conradi : Partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 313421352 (FOR 2535 Anticipating Human Behavior). Affiliated with Lamarr Institute for Machine Learning and Artificial Intelligence.
We acknowledge Sungmin Lee, Young Jae Shin, and Philip Kim for their contributions to this project's initial state. We also thank Youngwoo Son and Gil-Ho Lee for their helpful discussions and comments. This work was supported by the Leading Researcher Program of the National Research Foundation of Korea (Grant No. 2020R1A3B2079375). The work by J.K. and J.L. was supported by the National Research Foundation (NRF) of Korea (Grant No. 2020R1A2C201133414).
This work was supported by the Slovenian Research Agency ARIS (research core funding P1-0297 and projects J1-2452, N1-0285, Z1-50003). Vesna Irˇ siˇ c also acknowledges the financial support from the ERC KARST project (101071836). The research of James Tuite was partially funded by LMS Research in Pairs grant number 42235; he also thanks the University of Ljubljana for their hospitality. The authors also thank Elias John Thomas for suggesting this topic.
This work has received funding from the Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the German State of North Rhine-Westphalia (MKW) under the Excellence Strategy of the Federal Government and the L¨ ander, the project NewLEADS - New Directions in Learning Dynamical Systems (contract number: 621-2016-06079), funded by the Swedish Research Council, and the Kjell och M¨ arta Beijer Foundation . A donation by Mitsubishi Electric Research Laboratories (MERL) was used to purchase the equipment used for the experiments.
N. L. A. was funded by the Master, PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), code VINIF.2023.TS.003. B. M. L. was supported by the Institute for Basic Science (IBS-R031-D1) and by SSAA under DOE NNSA Contract No. DENA0004075. P. P. was supported by the Rare Isotope Science Project of the Institute for Basic Science funded by the Ministry of Science, ICT and Future Planning and the National Research Foundation (NRF) of Korea (2013M7A1A1075764).
Funding: ESA and JAR were partially supported by NSF grant DMS-2051760, HB by NSF grant DMS-2331660 and MG-L by NIH grant P20GM103395, an NIGMS Institutional Development Award (IDeA) and by the Borsa FSB 2020 from Fundacio Ferran Sunyer i Balaguer. Part of this research was performed while MG-L and JAR visited the Institute for Mathematical and Statistical Innovation (IMSI), which is supported by the National Science Foundation (Grant DMS-1929348)
T.J.L., F.D'E., J.M.P., R.M. and W.B. acknowledge support by the Science and Technology Facilities Council (STFC),
by the ERC through Advanced Grant 695671 'QUENCH', and by the UKRI Frontier Research grant RISEandFALL. T.J.L acknowledges support by the STFC Center for Doctoral Training in Data Intensive Science. R.M. also acknowledges funding from a research professorship from the Royal Society. We thank Simon Lilly and Asa Bluck for very useful discussions.
This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by Ethics Committee of Institute of Computing Technology, Chinese Academy of Sciences.
This work is partially supported by National Key R&amp;D Program of China (No. 2021YFC3310100), Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB0680202), Beijing Nova Program (20230484368), and Youth Innovation Promotion Association CAS.
ACB received support under the grants #2019/02512-5, S˜ ao Paulo Research Foundation (FAPESP), and FAEPEX/UNICAMP. RMG received support under the grants #2018/22385-5 and #2022/009483, S˜ ao Paulo Research Foundation (FAPESP). CFM was supported by the grants NSF DMS-2009859 and NSF DMS-2239325. The authors would also like to thank Mimi Dai for helpful comments on an earlier version of this manuscript.
This work was supported by MICINN, Spain, grant PID2020-116201GB-I00, Xunta de Galicia, Spain (GPC ED431B 2019/03), Fundacion BBVA (LIANDA research project), Spain, Region Pays de la Loire, France (EL4HC and ´ etoiles montantes CTASP), DFG grant SCHA 550/15, Germany, and European Union COST action CA-17124.
The work at Zhejiang University was sponsored by the Key Research and Development Program of the Ministry of Science and Technology under Grants 2022YFA1405200 (Y.Y.), No. 2022YFA1404704 (H.C.), 2022YFA1404902 (H.C.), and 2022YFA1404900 (Y.Y.), the National Natural Science Foundation of China (NNSFC) under Grants No. 62175215 (Y.Y.), and No. 61975176 (H.C.), the Key Research and Development Program of Zhejiang Province under Grant No.2022C01036 (H.C.), the Fundamental Research Funds for the Central Universities (2021FZZX001-19) (Y.Y.), and the Excellent Young Scientists Fund Program (Overseas) of China (Y.Y.).
The authors thank Samuel Deléglise, Thibaut Jacqmin, Himanshu Patange, and John Lawall for invaluable discussions about photonic crystal design and fabrication. We also thank Christian Pluchar and Mitul Dey Chowdhury for helping design the optical characterization setups and Ewan Wright for helping with numerical modeling. This work is supported by NSF Grants ECCS-1945832 and PHY-2209473. A. R. A. acknowledges support from a CNRS-UArizona iGlobes fellowship. Finally, the reactive ion etcher used for this study was funded by an NSF MRI grant, ECCS-1725571.
Violetta Weger is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 899987. Sebastian Bitzer acknowledges the financial support by the Federal Ministry of Education and Research of Germany in the program of 'Souverän. Digital. Vernetzt.'. Joint project 6G-life, project identification number: 16KISK002. Alberto Ravagnani is supported by the Dutch Research Council via grants VI.Vidi.203.045, OCENW.KLEIN.539, and by the Royal Academy of Arts and Sciences of the Netherlands.
Manuscript received XX XXXX 2024; revised XX XXXX 2024 and XX XXXX 2024; accepted XX XXXX 2024. Date of publication XX XXXX 2024; date of current version XX XXXX 2024. This work was supported in part by grants PID2022137099NB-C42 (MADDIE) and TED2021-130240B-I00 (IVRY) funded by MCIN/AEI/10.13039/501100011033; in part by the European Union NextGenerationEU/PRTR; and funding for open access charge: Universidade da Coru˜ na/CISUG. Corresponding author: Valent´ ın Barral Vales.
Key words and phrases. Topological Entropy, Singular Flows, Suspension Flows, Minimal Sets. The first was partially supported by NSFC 12250710130 from China. The second author was supported by 'Bolsa Jovem Cientista do Nosso Estado No. E-26/201.432/2022, Brazil, NNSFC 12071202, and NNSFC 12161141002 from China.
The authors thank J. Bouchard for the technical support with the CVD system and the Microfabrication Laboratory (LMF) for the support with the microfabrication steps. O.M. acknowledges support from NSERC Canada (Discovery, SPG, and CRD Grants), Canada Research Chairs, Canada Foundation for Innovation, Mitacs, PRIMA Québec, Defence Canada (Innovation for Defence Excellence and Security, IDEaS), the European Union's Horizon Europe research and innovation program under grant agreement No 101070700 (MIRAQLS),
the US Army Research Office Grant No. W911NF-22-1-0277, and the Air Force Office of Scientific Research Grant No. FA9550-23-1-0763. C.L.-L. acknowledges financial support from NSERC (CGS D) and Fonds de recherche du Québec: Nature and Technologies (FRQNT, doctoral scholarship).
Acknowledgement. L. Liu acknowledges the support by National Key R&amp;D Program of China (2021YFA1001200), Ministry of Science and Technology in China, Early Career Scheme (24301021) and General Research Fund (14303022 &amp; 14301423) funded by Research Grants Council of Hong Kong from 2021-2023. K. Qi thanks Michael Herty and Jingwei Hu for their helpful discussions as well as the kind hospitality during his visit to RWTH Aachen University.
AI gratefully acknowledges the financial support of The Faculty of Science and Technology at Aarhus University through a Sabbatical scholarship and the hospitality of the Quantum Technology group, the Centre for Quantum Materials and Technologies, and the School of Mathematics and Physics, during his stay at Queen's University Belfast. MP acknowledges support from the Horizon Europe EIC-Pathfinder project QuCoM (101046973), the Leverhulme Trust Research Project Grant UltraQuTe (grant RGP-2018-266), the Royal Society Wolfson Fellowship (RSWF/R3/183013), the UK EPSRC (EP/T028424/1), and the Department for the Economy Northern Ireland under the US-Ireland R&amp;D Partnership Programme.
Our study's research participant had remarkably good baseline performance, both in terms of maximum grasping force and force modulation. This was supported by the fact the participant reported regular use of the right hand in daily activities such as self-feeding using a universal cuff and having undergone tendon transfer surgery to improve hand function. Even compared to this strong baseline, our device still enhanced grasping assistance to a degree that improved functional performance, as evidenced by the GRT results. Future work will expand the participant pool and include individuals with different degrees of impairment.
This work was supported by the National Institutes of Health: National Institute of Neurological Disorders and Stroke under grant R01NS115652; A.C. is supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development under award F31HD111301.
We would like to thank the anonymous referee, whose comments helped to improve the quality of this paper. BM acknowledges support from an Australian Government Research Training Program (RTP) Scholarship. This research is supported in part by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project number CE170100013. BM would like to thank Prof. Tommaso Treu for his mentorship and advice on using MCMC methods and for hosting a wonderful extended research visit at UCLA. The authors extend their thanks to Alejandra Lugo-Aranda for the advice on using pyHIIextractor , and to Dr. Kathryn Grasha for the advice on
This project was primarily supported by the Key Research and Development Program (2022YFA1404800), National Natural Science Foundation of China (12374359, 62375225, 62104198, 62305270), Shaanxi Fundamental Science Research Project for Mathematics and Physics (22JSY004), Xi'an Science and Technology Plan Project (2023JH-ZCGJ-0023). The authors also thank the Analytical &amp; Testing Center of NPU for their assistance in device fabrication and characterizations.
The authors are grateful to all the postdocs and students at Ibaraki University who have supported observations of the Ibaraki 6.7 GHz Methanol Maser Monitor (iMet) program. This work is partially supported by the Inter-university collaborative project 'Japanese VLBI Network (JVN)' of NAOJ. This study benefited from financial support from the Japan Society for the Promotion of Science (JSPS) KAKENHI program (21H01120 and 21H00032).