h1

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@ARTICLE{Brozos:985681,
      author       = {Brozos, Christoforos and Rittig, Jan Gerald and
                      Bhattacharya, Sandip and Akanny, Elie and Kohlmann,
                      Christina and Mitsos, Alexander},
      title        = {{G}raph neural networks for surfactant multi-property
                      prediction},
      journal      = {Colloids and surfaces / A},
      volume       = {594},
      issn         = {1873-4359},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2024-04735},
      pages        = {134133},
      year         = {2024},
      cin          = {416710 / 080031},
      ddc          = {540},
      cid          = {$I:(DE-82)416710_20140620$ / $I:(DE-82)080031_20200305$},
      pnm          = {HDS LEE - Helmholtz School for Data Science in Life, Earth
                      and Energy (HDS LEE) (HDS-LEE-20190612) / DFG project
                      466417970 - Graph-Basiertes Generatives Maschinelles Learnen
                      für optimale Moleküle (466417970) / Doktorandenprogramm
                      (PHD-PROGRAM-20170404) / DFG project 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:(DE-Juel1)HDS-LEE-20190612 / G:(GEPRIS)466417970 /
                      G:(DE-HGF)PHD-PROGRAM-20170404 / G:(GEPRIS)441958259 /
                      G:(DE-82)021000-OAPKF},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001239195400001},
      doi          = {10.1016/j.colsurfa.2024.134133},
      url          = {https://publications.rwth-aachen.de/record/985681},
}