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@ARTICLE{Velioglu:1035181,
      author       = {Velioglu, Mehmet and Zhai, Song and Rupprecht, Sophia and
                      Mitsos, Alexander and Jupke, Andreas and Dahmen, Manuel},
      title        = {{P}hysics-informed neural networks for dynamic process
                      operations with limited physical knowledge and data},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {192},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2025-00268},
      pages        = {108899 -},
      year         = {2025},
      cin          = {ICE-1},
      ddc          = {660},
      cid          = {I:(DE-Juel1)ICE-1-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112) / DFG project
                      G:(GEPRIS)466656378 - Dateneffizientes und
                      physikinformiertes Verstärkungslernen zur Regelung von
                      flüssig-flüssig Trennprozessen (466656378)},
      pid          = {G:(DE-HGF)POF4-1121 / G:(GEPRIS)466656378},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001363931300001},
      doi          = {10.1016/j.compchemeng.2024.108899},
      url          = {https://juser.fz-juelich.de/record/1035181},
}