% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Abbar:354858,
      author       = {Abbar, Sajad and Wu, Meng-Ru and Xiong, Zewei},
      title        = {{P}hysics-informed neural networks for predicting the
                      asymptotic outcome of fast neutrino flavor conversions},
      journal      = {Physical review / D},
      volume       = {109},
      number       = {4},
      issn         = {2470-0010},
      address      = {Ridge, NY},
      publisher    = {American Physical Society},
      reportid     = {GSI-2024-01291},
      pages        = {043024},
      year         = {2024},
      note         = {"Published by the American Physical Society under the terms
                      of the Creative Commons Attribution 4.0 International
                      license. Further distribution of this work must maintain
                      attribution to the author(s) and the published article’s
                      title, journal citation, and DOI. Open access publication
                      funded by the Max Planck Society."},
      cin          = {KNA},
      ddc          = {530},
      cid          = {I:(DE-Ds200)KNA-20160901OR396},
      pnm          = {899 - ohne Topic (POF4-899) / KILONOVA - Probing r-process
                      nucleosynthesis through its electromagnetic signatures
                      (885281) / DFG project G:(GEPRIS)390783311 - EXC 2094:
                      ORIGINS: Vom Ursprung des Universums bis zu den ersten
                      Bausteinen des Lebens (390783311) / DFG project
                      G:(GEPRIS)283604770 - SFB 1258: Neutrinos und Dunkle Materie
                      in der Astro- und Teilchenphysik (NDM) (283604770)},
      pid          = {G:(DE-HGF)POF4-899 / G:(EU-Grant)885281 /
                      G:(GEPRIS)390783311 / G:(GEPRIS)283604770},
      experiment   = {$EXP:(DE-Ds200)no_experiment-20200803$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001179577300003},
      doi          = {10.1103/PhysRevD.109.043024},
      url          = {https://repository.gsi.de/record/354858},
}