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@INPROCEEDINGS{Yu:1024603,
      author       = {Yu, Zhenming and Menzel, Stephan and Strachan, John Paul
                      and Neftci, Emre},
      title        = {{I}ntegration of physics-derived memristor models with
                      machine learning frameworks},
      publisher    = {FUNDACIO DE LA COMUNITAT VALENCIANA SCITO València},
      reportid     = {FZJ-2024-02277},
      pages        = {1},
      year         = {2023},
      month         = {Jan},
      date          = {2023-01-23},
      organization  = {Neuromorphic Materials, Devices,
                       Circuits and Systems, València
                       (Spain), 23 Jan 2023 - 25 Jan 2023},
      cin          = {PGI-7 / PGI-14 / PGI-15 / JARA-FIT},
      cid          = {I:(DE-Juel1)PGI-7-20110106 / I:(DE-Juel1)PGI-14-20210412 /
                      I:(DE-Juel1)PGI-15-20210701 / $I:(DE-82)080009_20140620$},
      pnm          = {5233 - Memristive Materials and Devices (POF4-523) / BMBF
                      16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien
                      der künstlichen Intelligenz für die Elektronik der Zukunft
                      - NEUROTEC II - (BMBF-16ME0398K)},
      pid          = {G:(DE-HGF)POF4-5233 / G:(DE-82)BMBF-16ME0398K},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.29363/nanoge.neumatdecas.2023.011},
      url          = {https://juser.fz-juelich.de/record/1024603},
}