cometadata/test-preprints-extracted-funding huggingface dataset:
Funding: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 429529648 - TRR 306 QuCoLiMa (Quantum Cooperativity of Light and Matter). KPS acknowledges the support by the Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus. The authors gratefully acknowledge the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universität ErlangenNürnberg (FAU) under the NHR project b177dc ('SELRIQS'). NHR funding is provided by federal and Bavarian state authorities. NHR@FAU hardware is partially funded by the German Research Foundation (DFG) - 440719683.
Funding Information. This work was supported by Spanish MICINN grant PID2022-140440NB-C22; regional Andalusian project P18-FR-5057; National Natural Science Foundation of China grant no. 12135007; and STRONG-2020 'The strong interaction at the frontier of knowledge: fundamental research and applications' which received funding from the European Union's Horizon 2020 research and innovation programme (grant agreement no. 824093).
This research is supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Superconducting Quantum Materials and Systems Center (SQMS) under the Contract No. DE- AC02- 07CH11359, by the MUR Departments of Excellence grant 2023-2027 'Quantum Frontiers', and by INFN through the QUAX experiment. This project has received funding from the European Union Horizon 2020 research and innovation program under ERC-2021-STG grant agreement no. 101042315 (INGENIOUS)
This work is partially supported by the NASA Heliophysics Supporting Research Grant, the NASA grants 80NSSC19K0630 and 80NSSC20K0302, and NSF grants 1639683 and 1916509. The code for this project is available at https://github.com/skasapis/SEP Pred SMARP-SHARP. We acknowledge the SOLSTICE Team at the University of Michigan, Department of Climate and Space Sciences and Engineering for their contributions to the methodology of this work.
LS thanks Jeremias Aguilera Damia, Chi-Ming Chang and Jing-Yuan Chen for helpful discussions, and the School of Mathematical and Computer Sciences at Heriot-Watt University for hospitality at the early stages of this project. RJS is grateful to Lukas M¨ uller for helpful discussions and for sharing his notes on 1-form symmetries. We also thank Eric Sharpe for comments and correspondence. This article is based upon work from COST Actions CaLISTA CA21109 and THEORY-CHALLENGES CA22113 supported by COST (European Cooperation in Science and Technology). The work of LS is supported by the Shuimu Scholars program of Tsinghua University and by the Beijing Natural Science Foundation project IS23008 'Exact Results in Algebraic Geometry from Supersymmetric Field Theory'. The work of RJS was supported in part by Perimeter Institute for Theoretical Physics. Research at Perimeter Institute is supported by the Government of Canada through the Department of Innovation, Science, and Economic Development, and by the Province of Ontario through the Ministry of Colleges and Universities.
The work was supported in part by the China National Key R&amp;D Program under Grant 2021YFA1000500 and 2023YFB2904804; in part by the National Natural Science Foundation of China under Grant 62331023, 62101492, 62394292 and U20A20158; in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LR22F010002; in part by the Zhejiang Provincial Science and Technology Plan Project under Grant 2024C01033, in part by the Zhejiang University Global Partnership Fund; and in part by the Ministry of Education (MOE), Singapore, through its MOE Tier 2 (Award number MOE-T2EP50220-0019) and ASTAR (Agency for Science, Technology and Research) Singapore, under Grant No. M22L1b0110. (Corresponding author: Chongwen Huang.)
Acknowledgements: This work was partly supported by Institute of Information &amp; communications Technology Planning &amp; Evaluation (IITP) grant funded by the Korea government(MSIT) (2021-0-01341, Artificial Intelligence Graduate School Program(Chung-Ang University), 2020-0-01336, AIGS program (UNIST), and 2021-0-01778 Development of human image synthesis and discrimination technology below the perceptual threshold) and Culture, Sports and Tourism R&amp;D Program through the Korea Creative Content Agency grant funded by the Ministry of Culture, Sports and Tourism in 2024 (Project Name : Development of high-freedom large-scale user interaction technology using multiple projection spaces to overcome low-light lighting environments. , Project Number : RS-2023-00222280).
The research work of Arman Ferdowsi was funded by the Austrian Science Fund (FWF) project DMAC [10.55776/P32431]. Matthias F¨ ugger's research was supported by the ANR DREAMY (ANR-21-CE48-0003). Josef Salzmann was funded by the the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association.
Acknowledgments: We thank Thibault Damour for discussions regarding convergence properties of the post-Minkowskian expansion. The work of P.H.D. is supported in part by DFF Grant No. 0135-00089A, and the work of K.L. has been supported in part by appointment to the JRG Program at the APCTP through the Science and Technology Promotion Fund and Lottery Fund of the Korean Government. KL is also supported by the National Research Foundation of Korea(NRF) grant funded by the Korean government(MSIT) RS2023-00249451 and the Korean Local Governments of Gyeongsangbuk-do Province and Pohang City.
We thank Venkat Chandrasekhar for enlightening discussions. We acknowledge funding from the National Science Foundation CAREER Award number: 2144356 and DoD-NDEP Award number HQ0034-21-1-0014. The Nb sample preparation was supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Superconducting Quantum Materials and System Center (SQMS) under Contract No. DE-AC02-07CH11359. This work made use of the NUFAB Facility, which is supported by the MRSEC program of the National Science Foun-
Alexandra Otiman was partially supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sk/suppress lodowska-Curie grant agreement No 754513 and Aarhus University Research Foundation and by a grant of the Ministry of Research and Innovation, CNCS - UEFISCDI, project no. P1-1.1-PD-2021-0474.
Cristian Ciulic˘ a was partially supported by a grant of Ministry of Research and Innovation, CNCS - UEFISCDI, project no. PN-III-P4-ID-PCE-2020-0025, within PNCDI III.
Miron Stanciu was partially supported by a grant of Ministry of Research and Innovation, CNCS - UEFISCDI, project no. PN-III-P1-1.1-TE-2021-0228, within PNCDI III.
MU and EM contributed equally. We acknowledge Nis Van H¨ ulst and Pia Siegl for helpful discussions on the theory and computation of tensor networks. This research is supported by the EU HORIZON - Project 101080085 - QCFD, the National Research Foundation, Singapore and A*STAR under its CQT Bridging Grant, and Quantum Engineering Programme NRF2021-QEP202-P02. We thank IBM Quantum for the cloud quantum computing access.
Acknowledgements. The authors are grateful to E. Caglioti, I. Gallagher, B. Lods, M. Pulvirenti, C. Saffirio and S. Simonella for many stimulating discussions concerning the topic of the present article. The authors gratefully acknowledge the financial support of the Hausdorff Research Institute for Mathematics (Bonn) through the collaborative research center The mathematics of emerging effects (CRC 1060, Project-ID 211504053), and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation).
D.E was supported by a NASA Future Investigators in NASA Earth and Space Science and Technology (FINESST) fellowship under award #80NSSC19K1423. D.E also acknowledges support from the Keck Visiting Scholars Program (KVSP) to install the KPIC Phase II upgrades required for KPIC VFN. J.X is supported by another FINESST award under #80NSSC23K1434 and also acknowledges support from the KVSP to commission KPIC Phase II.
Funding for KPIC has been provided by the California Institute of Technology, the Jet Propulsion Laboratory, the Heising-Simons Foundation (grants #2015-129, #2017-318, #2019-1312, and #2023-4598), the Simons Foundation (through the Caltech Center for Comparative Planetary Evolution), and the NSF under grant AST-1611623.
Some of this work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration and funded through the internal Research and Technology Development program.
The data presented herein were obtained at Keck Observatory, which is a private 501(c)3 non-profit organization operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation.
This work is based upon observations obtained with the Georgia State University Center for High Angular Resolution Astronomy Array at Mount Wilson Observatory. The CHARA Array is supported by the National Science Foundation under Grant No. AST-1636624 and AST-2034336. Institutional support has been provided from the GSU College of Arts and Sciences and the GSU Office of the Vice President for Research and Economic Development. S.K. and S.C. acknowledge funding for MIRC-X received from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Starting Grant No. 639889 and Consolidated Grant No. 101003096). J.D.M acknowledges funding for the development of MIRC-X (NASA-XRP NNX16AD43G, NSF-AST 1909165) and MYSTIC (NSF-ATI 1506540, NSF-AST 1909165).
The authors gratefully thank an Associate Editor and two referees for their valuable comments which contributed to improve the paper. The authors also wish to express their gratitude to Pablo Spiga for inspiring discussions and suggestions about centralizers of semiregular subgroups. Daniela Bubboloni has been supported by GNSAGA of INdAM (Italy), by the European Union - Next Generation EU, Missione 4 Componente 1, PRIN 2022-2022PSTWLB - Group Theory and Applications, CUP B53D23009410006, and by local funding from the Universit` a degli Studi di Firenze. Michele Gori has been supported by local funding from the Universit` a degli Studi di Firenze. Claudia Meo has been supported by the national project PRIN 2022-2022HLPMKN - Externalities and Fairness in Allocations and Contracts, CUP E53D23006290006.
- We thank the anonymous referee for his/her constructive comments that significantly improved the paper. This work is supported by the National Key Research and Development Program of 1 2 - China (No. 2022YFA1602901) and the National Natural Science Foundation of China (NSFC, No. 3 - 12141301, 11733002). C.N.Hao also acknowledges the support from the science research grants from 4 - the China Manned Space Project with NO. CMS-CSST-2021-A04, CMS-CSST-2021-A07 and CMS5 - CSST-2021-B02. Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred 6
- stitutions. SDSS-IV acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. The SDSS web site is www.sdss.org. SDSS-IV is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration including the Brazilian Participation Group, the Carnegie Institution for Science, Carnegie Mellon University, the Chilean Participation Group, the French Participation Group, Harvard-Smithsonian Center for Astrophysics, Instituto de Astrof´ ısica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo, the Ko14 - rean Participation Group, Lawrence Berkeley National Laboratory, Leibniz Institut f¨ ur Astrophysik Potsdam (AIP), Max-Planck-Institut f¨ ur Astronomie (MPIA Heidelberg), Max-Planck-Institut f¨ ur Astrophysik (MPA Garching), Max-Planck-Institut f¨ ur Extraterrestrische Physik (MPE), National Astronomical Observatories of China, New Mexico State University, New York University, Univer18 - sity of Notre Dame, Observatario Nacional / MCTI, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Universidad Nacional Autonoma de Mexico, University of Arizona, University of Colorado Boulder, University of Oxford, University of Portsmouth, University of Utah, University of Virginia, University of Wash22 - ington, University of Wisconsin, Vanderbilt University, and Yale University. This project makes use 23 - of the MaNGA-Pipe3D data products. We thank the IA-UNAM MaNGA team for creating this 24 - catalogue, and the ConaCyt-180125 project for supporting them. 25
We would like to thank the anonymous referee for valuable comments and suggestions that improved the quality of the paper. AIA and HMI data are courtesy of NASA/SDO and the AIA and HMI science teams. L.A.U. was supported by NASA Heliophysics Guest Investigator NNH15ZDA001N-HGI, NASA Heliophysics Living With a Star grants NNH16ZDA010N-LWS and NNH18ZDA001NLWS, and by NASA grant NNH18ZDA001N-DRIVE to the COFFIES DRIVE Center managed by Stanford University. I.U.U. and H.P.W. were supported by the NASA Heliophysics Guest Investigator and Living With a Star programs and the Office of Naval Research. D.H.H. was supported by NASA contract NAS5-02139 (HMI) to Stanford University.
G.C. has received fundings from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 740623 ). The work of G.C. was also partially supported by GNAMPA-INdAM. The authors are grateful to Elishan Christian Braun for fruitful discussions, concerning the numerical implementation of the parameter estimation method. Finally, authors are very grateful to reviewers for their appropriate and constructive remarks.
We thank the referee for making fundamental queries on the physical understanding of the results, which improved the quality of the paper. SM and SPS acknowledge Ramanujan Fellowship (# RJF / 2020 / 000113) by SERB-DST, Govt. of India for this research. K.C. acknowledges support from SWIFAR postdoctoral fund of Yunnan University. CBS is supported by the National Natural Science Foundation of China under grant no. 12073021. This research used data products provided by the IXPE Team (MSFC, SSDC, INAF, and INFN) and distributed with additional software tools by the High-Energy Astrophysics Science Archive Research Center (HEASARC), at NASA Goddard Space Flight Center (GSFC). This research has made use of the NuSTAR Data Analysis Software (NuSTARDAS) jointly developed by the ASI Science Data Center (ASDC, Italy) and the California Institute of Technology (Caltech, USA).
This study is in part financed by the European Union-NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria, project No. BG-RRP-2.004-0008C01. DD acknowledges financial support via an Emmy Noether Research Group funded by the German Research Foundation (DFG) under grant no. DO 1771/1-1. LAS is supported by an LMS Early Career Fellowship. We thank Nicola Franchini and Farid Thaalba for useful comments on the draft. We also thank Miguel Bezares and Thomas Sotiriou for useful discussions. We acknowledge Discoverer PetaSC and EuroHPC JU for awarding this project access to Discoverer supercomputer resources. We thank the entire GRChombo 3 collaboration for their support and code development work.
Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 694343). JMA acknowledges the support of the Viera y Clavijo Senior program funded by ACIISI and ULL and the support of the Agencia Estatal de Investigacion del Ministerio de Ciencia e Innovacion (MCIN/AEI/10.13039/501100011033) under grant nos. PID2021-128131NB-I00 and CNS2022135482 and the European Regional Development Fund (ERDF) 'A way of making Europe' and the 'NextGenerationEU/PRTR'. AdLC acknowledges financial support from the Spanish Ministry of Science and Innovation (MICINN) to the coBEARD project (PID2021128131NB-I00). AdLC also acknowledges financial support from MICINN through the Spanish State Research Agency, under the Severo Ochoa Centres of Excellence Programme 2020-2023 (CEX2019-000920S). LPM thanks FAPESP through grant 2022/03703-1 and CNPQ through grant 307115/2021-6 for financial support. LASL acknowledges CAPES for the support through grant 88887.637633/2021-00 and CNPQ through grant 200469/2022-3. WTK was supported by the grant of the National Research Foundation of Korea (2022R1A2C1004810). MGP acknowledges the support from the Basic Science Research Program through the National Research Foundation of Korea (NRF No2019R1I1A3A02062242 and NRF No-2018R1A6A1A06024970) funded by the Ministry of Education, Korea. Based on observations collected at the European Southern Observatory under ESO programmes 1100.B-0651, 095.C-0473, and 094.C0623 (PHANGS-MUSE; PI: Schinnerer), as well as 094.B-0321 (MAGNUM; PI: Marconi), and 097.B-0640 (TIMER; PI: Gadotti). Raw and reduced data are available at the ESO Science Archive Facility.
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2023-00240212 and No. 2019R1I1A3A02062242) and NRF grant funded by the Korean government Ministry of Science and ICT (MSIT) (No. 2022R1A4A3031306). This work was supported by STFC grants ST/T000244/1 and ST/X001075/1. TK acknowledges the support from the Korea Foundation for Women In Science, Engineering and Technology (WISET) Grant (2022-804) funded by MSIT under the Support for Parental Leave Replacement Jobs. MQ and PSB acknowledge support from the Spanish grants PID2019-106027GAC44 and PID2019-107427GB-C31 respectively, funded by MCIN/AEI/10.13039/501100011033. A.Z. acknowledges financial support by the research projects PID2020-113689GB-I00, and PID2020-114414GBI00, financed by MCIN/AEI/10.13039/501100011033, the project A-FQM-510-UGR20 financed from FEDER/Junta de Andaluc´ ıa-Consejer´ ıa de Transforamcion Economica, Industria, Conocimiento y Universidades/Proyecto and by the grants P20 00334 and FQM108, financed by the Junta de Andaluc´ ıa (Spain). JN acknowledges funding from the European Research
This project has received funding from the Project ECS 0000024 Rome Technopole, -CUP B83C22002820006, NRP Mission 4 Component 2 Investment 1.5conclusio, Funded by the European Union -NextGenerationEU (T.S.). G.B. and T.S. acknowledge the 'Progetti di Ricerca Medi 2021', the 'Progetti di Ricerca Medi 2022' grants by Sapienza Universitá di Roma. E.M. and M. M. acknowledge the 'Progetti di Avvio alla Ricerca 2022' grants by Sapienza Universitá di Roma. S.M. acknowledges the support of NSF through grant CHE-2246379. G.B. and T.S. acknowledge the support of EU HORIZON funding programme through grant GA-101120832.
Wethank an anonymous Referee for the prompt review of our manuscript, and for the useful suggestions. We warmly thank STScI, our Program Coordinator and Instruments Reviewers -Shelly Meyett, Mario Gennaro, Paul Goudfrooij and David Golimowski- for their great support during the review of our problematic observations. LRB, DN, MG and MSc acknowledge support by INAF under the WFAP project, f.o.:1.05.23.05.05. MS acknowledges support from The Science and Technology Facilities Council Consolidated Grant ST/V00087X/1. ABu, DA, JA, RG, and ABe, acknowledge support from STScI funding associated with GO-1979.
We wish to thank Mikko Laine for several discussions on the topic of this paper. We acknowledge PRACE for awarding us access to the HPC system MareNostrum4 at the Barcelona Supercomputing Center (Proposals n. 2018194651 and 2021240051) and EuroHPC for the access to the HPC system Vega (Proposal n. EHPC-REG-2022R02-233) where most of the numerical results presented in this paper have been obtained. We also thank CINECA for providing us with computer time on Marconi (CINECA-INFN, CINECA-Bicocca agreements). The R&amp;D has been carried out on the PC clusters Wilson and Knuth at Milano-Bicocca. We thank all these institutions for the technical support. This work is (partially) supported by ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, funded by European Union - NextGenerationEU.
The research in this paper has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 955606 (DEEP-SEA). The EuroHPC Joint Undertaking (JU) receives support from the European Union Horizon 2020 research and innovation programme and Germany, France, Spain, Greece, Belgium, Sweden, Switzerland. Financial support was provided by the Swedish e-Science Research Centre Exascale Simulation Software Initiative (SESSI) and the Swedish Research Council project grant 'Efficient Algorithms for Exascale Computational Fluid Dynamics' (grant reference 2019-04723).
We thank K. Nagamine, S. Takasao, and T. Kinugawa for fruitful discussions. The numerical simulations were performed with the Cray XC50 at the Center for Computational Astrophysics (CfCA) of the National Astronomical Observatory of Japan. D. T. was supported in part by the JSPS Grant-in-Aid for Scientific Research (21K20378 and 22K21349). K. H. was supported by JST FOREST Program (JPMJFR2136) and the JSPS Grant-in-Aid for Scientific Research (20H05639, 20H00158, 23H01169, 23H04900). K. I. acknowledges support from the National Natural Science Foundation of China (12073003, 12003003, 11721303, 11991052, and 11950410493) and the China Manned Space Project (CMS-CSST2021-A04 and CMS-CSST-2021-A06). R. K. acknowledges financial support via the Heisenberg Research Grant funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant no. KU 2849/9, project no. 445783058.
Zhigang Zhao (zhaozg@sdas.org), Chunxiao Wang (wangcx@sdas.org), Dawei Song (dwsong@bit.edu.cn) are corresponding authors. This work was supported by the Technology and Innovation Major Project of the Ministry of Science and Technology of China (grant No.2022ZD0118600), the Jinan '20 New Colleges and Universities' Funded Project (grant No.202333043), and the Talent Research Projects of Qilu University of Technology (Shandong Academy of Sciences) (grant No.2023RCKY136).
10.55776/F71 (BeyondC) and 10.55776/FG5 (Research Group 5); and from the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association. L.A.R. acknowledges support from the Erwin Schr¨ odinger Center for Quantum Science &amp; Technology (ESQ Discovery). B.D. also acknowledges support from FWF [P36994-N]. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.
This research was funded in whole, or in part, by Horizon 2020 and Horizon Europe research and innovation program under grant agreement No 899368 (EPIQUS) and No 101135288 (EPIQUE), the Marie Skglyph[suppress] lodowska-Curie grant agreement No 956071 (AppQInfo), and the QuantERA II Program under Grant Agreement No 101017733(PhoMemtor). Further funding was received from the Austrian Science Fund (FWF) through 10.55776/COE1 (Quantum Science Austria),