h1

000985681 001__ 985681
000985681 005__ 20250904165502.0
000985681 0247_ $$2ISSN$$a0927-7757
000985681 0247_ $$2ISSN$$a1873-4359
000985681 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85192217500
000985681 0247_ $$2WOS$$aWOS:001239195400001
000985681 0247_ $$2doi$$a10.1016/j.colsurfa.2024.134133
000985681 0247_ $$2datacite_doi$$a10.18154/RWTH-2024-04735
000985681 037__ $$aRWTH-2024-04735
000985681 041__ $$aEnglish
000985681 082__ $$a540
000985681 1001_ $$0P:(DE-82)1003366$$aBrozos, Christoforos$$b0$$urwth
000985681 245__ $$aGraph neural networks for surfactant multi-property prediction$$honline, print
000985681 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2024
000985681 300__ $$a[2]-10
000985681 3367_ $$00$$2EndNote$$aJournal Article
000985681 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
000985681 3367_ $$2BibTeX$$aARTICLE
000985681 3367_ $$2DRIVER$$aarticle
000985681 3367_ $$2DataCite$$aOutput Types/Journal article
000985681 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000985681 536__ $$0G:(DE-Juel1)HDS-LEE-20190612$$aHDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)$$cHDS-LEE-20190612$$x1
000985681 536__ $$0G:(GEPRIS)466417970$$aDFG project 466417970 - Graph-Basiertes Generatives Maschinelles Learnen für optimale Moleküle (466417970)$$c466417970$$x3
000985681 536__ $$0G:(DE-HGF)PHD-PROGRAM-20170404$$aDoktorandenprogramm (PHD-PROGRAM-20170404)$$cPHD-PROGRAM-20170404$$x2
000985681 536__ $$0G:(GEPRIS)441958259$$aDFG project 441958259 - SPP 2331: Maschinelles Lernen in der Verfahrenstechnik. Wissen trifft auf Daten: Interpretierbarkeit, Extrapolation, Verlässlichkeit, Vertrauen (441958259)$$c441958259$$x4
000985681 536__ $$0G:(DE-82)021000-OAPKF$$aOAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)$$c021000-OAPKF$$x0
000985681 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de
000985681 591__ $$aGermany
000985681 7001_ $$0P:(DE-82)IDM04034$$aRittig, Jan Gerald$$b1$$urwth
000985681 7001_ $$aBhattacharya, Sandip$$b2
000985681 7001_ $$aAkanny, Elie$$b3
000985681 7001_ $$aKohlmann, Christina$$b4
000985681 7001_ $$0P:(DE-82)IDM00369$$aMitsos, Alexander$$b5$$eCorresponding author$$urwth
000985681 773__ $$0PERI:(DE-600)1500517-3$$a10.1016/j.colsurfa.2024.134133$$p134133$$tColloids and surfaces / A$$v594$$x1873-4359$$y2024
000985681 8564_ $$uhttps://publications.rwth-aachen.de/record/985681/files/985681.pdf$$yOpenAccess
000985681 8767_ $$8E-2024-00952-e$$92024-10-15$$c100.00$$d2024-06-24$$eOther$$jDEAL$$lElsevier$$v7.00$$x021000-416710$$zServicepauschale
000985681 8767_ $$8E-2024-01982-c$$92025-07-23$$c2270.80$$d2024-06-24$$eHybrid-OA$$jDEAL$$lElsevier$$v158.96$$x021000-416710
000985681 909CO $$ooai:publications.rwth-aachen.de:985681$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC_DEAL$$popen_access$$popenaire
000985681 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
000985681 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-21
000985681 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000985681 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCOLLOID SURFACE A : 2022$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bCOLLOID SURFACE A : 2022$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000985681 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-21
000985681 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-21
000985681 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
000985681 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000985681 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000985681 915pc $$0PC:(DE-HGF)0125$$2APC$$aDEAL: Elsevier 09/01/2023
000985681 9141_ $$y2024
000985681 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1003366$$aRWTH Aachen$$b0$$kRWTH
000985681 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04034$$aRWTH Aachen$$b1$$kRWTH
000985681 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00369$$aRWTH Aachen$$b5$$kRWTH
000985681 9201_ $$0I:(DE-82)416710_20140620$$k416710$$lLehrstuhl für Systemverfahrenstechnik$$x0
000985681 9201_ $$0I:(DE-82)080031_20200305$$k080031$$lJARA-CSD (Center for Simulation and Data Science)$$x1
000985681 961__ $$c2024-05-06T09:14:41.640859$$x2024-05-06T09:14:41.640859$$z2024-05-06
000985681 9801_ $$aFullTexts
000985681 980__ $$aAPC
000985681 980__ $$aI:(DE-82)080031_20200305
000985681 980__ $$aI:(DE-82)416710_20140620
000985681 980__ $$aUNRESTRICTED
000985681 980__ $$aVDB
000985681 980__ $$ajournal