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@INPROCEEDINGS{Pang:225010,
      author       = {Pang, Long-Gang and Zhou, Kai and Su, Nan and Elfner,
                      Hannah and Stöcker, Horst and Wang, Xin-Nian},
      title        = {{C}lassify {QCD} phase transition with deep learning},
      journal      = {Nuclear physics / A},
      volume       = {982},
      issn         = {0375-9474},
      reportid     = {GSI-2020-00027},
      pages        = {867 - 870},
      year         = {2019},
      note         = {This is an open access article under the CC BY-NC-ND
                      license (http://creativecommons.org/licenses/by-nc-nd/4.0/)},
      month         = {May},
      date          = {2018-05-13},
      organization  = {The 27th International Conference on
                       Ultrarelativistic Nucleus-Nucleus
                       Collisions, Venice (Italy), 13 May 2018
                       - 19 May 2018},
      cin          = {THE},
      ddc          = {530},
      cid          = {I:(DE-Ds200)THE-20051214OR028},
      pnm          = {612 - Cosmic Matter in the Laboratory (POF3-612) /
                      HGF-IVF-VH-NG-822 - VH-NG-822 : Theorie (CBM, PANDA),
                      Dynamical description of heavy ion reactions at FAIR
                      (HGF-IVF-VH-NG-822)},
      pid          = {G:(DE-HGF)POF3-612 / G:(DE-Ds200)HGF-IVF-VH-NG-822},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
      UT           = {WOS:000457515500202},
      doi          = {10.1016/j.nuclphysa.2018.10.077},
      url          = {https://repository.gsi.de/record/225010},
}