Bulletin of the American Physical Society
6th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Sunday–Friday, November 26–December 1 2023; Hawaii, the Big Island
Session C08: Minisymposium: Applications of Advanced Statistics and Machine Learning Methods in Nuclear Physics I
7:00 PM–9:30 PM,
Tuesday, November 28, 2023
Hilton Waikoloa Village
Room: Kohala 1
Chair: Michelle Kuchera, Davidson College
Abstract: C08.00002 : Neural-network quantum states for ultra-cold Fermi gases*
7:30 PM–7:45 PM
Presenter:
Jane M Kim
(Ohio University)
Authors:
Jane M Kim
(Ohio University)
Bryce Fore
(Argonne National Laboratory)
Gabriel M Pescia
(Ecole Polytechnique Federale de Lausanne)
Jannes Nys
(École Polytechnique Fédérale de Lausanne (EPFL))
Giuseppe Carleo
(EPFL)
Alessandro Lovato
(Argonne National Laboratory)
Stefano Gandolfi
(Los Alamos National Laboratory)
Morten Hjorth-Jensen
(Michigan State University)
*JK and MHJ are supported by the U.S. National Science Foundation Grants No. PHY-1404159 and PHY-2013047. AL and BF are supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under contracts DE-AC02-06CH11357, by the 2020 DOE Early Career Award number ANL PRJ1008597, by the NUCLEI SciDAC program, and Argonne LDRD awards. The work of SG is supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under contract No. DE-AC5206NA25396, by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) NUCLEI program, and by the Department of Energy Early Career Award Program. The work of GP, JN, GC is supported by the Swiss National Science Foundation under Grant No. 200021_200336, and by Microsoft Research.
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