Digital Discovery, 2023, Advance Article
DOI: 10.1039/D3DD00103B, Paper
DOI: 10.1039/D3DD00103B, Paper
Open Access
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Jan G. Rittig, Kobi C. Felton, Alexei A. Lapkin, Alexander Mitsos
Gibbs–Duhem-informed neural networks provide a flexible hybrid approach to predicting binary activity coefficients with both high accuracy and thermodynamic consistency.
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Gibbs–Duhem-informed neural networks provide a flexible hybrid approach to predicting binary activity coefficients with both high accuracy and thermodynamic consistency.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry