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Thermodynamically consistent machine learning model for excess Gibbs energy.

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Title: Thermodynamically consistent machine learning model for excess Gibbs energy.
Authors: Hoffmann M; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany., Specht T; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany., Göttl Q; Laboratory of Chemical Process Engineering, Technical University of Munich, Munich, Germany., Burger J; Laboratory of Chemical Process Engineering, Technical University of Munich, Munich, Germany., Mandt S; Department of Computer Science & Statistics, University of California, Irvine, CA, USA., Hasse H; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany., Jirasek F; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany. fabian.jirasek@rptu.de.
Source: Nature communications [Nat Commun] 2026 Apr 14; Vol. 17 (1). Date of Electronic Publication: 2026 Apr 14.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Hoffmann+M%22">Hoffmann M</searchLink>; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany.<br /><searchLink fieldCode="AU" term="%22Specht+T%22">Specht T</searchLink>; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany.<br /><searchLink fieldCode="AU" term="%22Göttl+Q%22">Göttl Q</searchLink>; Laboratory of Chemical Process Engineering, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Burger+J%22">Burger J</searchLink>; Laboratory of Chemical Process Engineering, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Mandt+S%22">Mandt S</searchLink>; Department of Computer Science & Statistics, University of California, Irvine, CA, USA.<br /><searchLink fieldCode="AU" term="%22Hasse+H%22">Hasse H</searchLink>; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany.<br /><searchLink fieldCode="AU" term="%22Jirasek+F%22">Jirasek F</searchLink>; Laboratory of Engineering Thermodynamics, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany. fabian.jirasek@rptu.de.
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  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2026 Apr 14; Vol. 17 (1). <i>Date of Electronic Publication: </i>2026 Apr 14.
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