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@ARTICLE{Felton:986989,
      author       = {Felton, Kobi C. and Raßpe-Lange, Lukas and Rittig, Jan
                      Gerald and Leonhard, Kai and Mitsos, Alexander and
                      Meyer-Kirschner, Julian and Knösche, Carsten and Lapkin,
                      Alexei A.},
      title        = {{ML}-{SAFT}: {A} machine learning framework for
                      {PCP}-{SAFT} parameter prediction},
      journal      = {The chemical engineering journal},
      volume       = {492},
      issn         = {1385-8947},
      address      = {Amsterdam},
      publisher    = {Elsevier},
      reportid     = {RWTH-2024-05516},
      pages        = {151999},
      year         = {2024},
      cin          = {416710 / 412110 / 080011},
      cid          = {$I:(DE-82)416710_20140620$ / $I:(DE-82)412110_20140620$ /
                      $I:(DE-82)080011_20140620$},
      pnm          = {DFG project 466417970 - Graph-Basiertes Generatives
                      Maschinelles Learnen für optimale Moleküle (466417970) /
                      DFG project 441958259 - SPP 2331: Maschinelles Lernen in der
                      Verfahrenstechnik. Wissen trifft auf Daten:
                      Interpretierbarkeit, Extrapolation, Verlässlichkeit,
                      Vertrauen (441958259)},
      pid          = {G:(GEPRIS)466417970 / G:(GEPRIS)441958259},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001285891400001},
      doi          = {10.1016/j.cej.2024.151999},
      url          = {https://publications.rwth-aachen.de/record/986989},
}