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@ARTICLE{Zhai:1015005,
      author       = {Zhai, Song and Bartkowiak, Niklas and Sibirtsev, Stepan and
                      Jupke, Andreas},
      title        = {{E}xperimental determination and model-based prediction of
                      flooding points in a pilot-scale continuous liquid-liquid
                      gravity separator},
      journal      = {Separation and purification technology},
      volume       = {377},
      number       = {Part 1},
      issn         = {1873-3794},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2025-06194},
      pages        = {134177},
      year         = {2025},
      cin          = {416310},
      ddc          = {540},
      cid          = {$I:(DE-82)416310_20151215$},
      pnm          = {DFG project G:(GEPRIS)466656378 - Dateneffizientes und
                      physikinformiertes Verstärkungslernen zur Regelung von
                      flüssig-flüssig Trennprozessen (466656378) / DFG project
                      G:(GEPRIS)441958259 - SPP 2331: Maschinelles Lernen in der
                      Verfahrenstechnik. Wissen trifft auf Daten:
                      Interpretierbarkeit, Extrapolation, Verlässlichkeit,
                      Vertrauen (441958259) / OAPKF - Open-Access-Publikation mit
                      Unterstützung der RWTH Aachen University (021000-OAPKF)},
      pid          = {G:(GEPRIS)466656378 / G:(GEPRIS)441958259 /
                      G:(DE-82)021000-OAPKF},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001540252300001},
      doi          = {10.1016/j.seppur.2025.134177},
      url          = {https://publications.rwth-aachen.de/record/1015005},
}