Journal Article

FZJ-2024-01060

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Gibbs–Duhem-informed neural networks for binary activity coefficient prediction

Rittig, J. G.RWTH* ; Felton, K. C. ; Lapkin, A. A. ; Mitsos, A. (Corresponding author)FZJ*RWTH*

2023
Royal Society of Chemistry Washington DC

This record in other databases:    

Please use a persistent id in citations: doi:10.1039/D3DD00103B  doi:10.34734/FZJ-2024-01060

Note: DFG(466417970 within SPP 2331), RWTH(rwth1232 computing resources), BASF (United States)

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Contributing Institute(s):

1. Modellierung von Energiesystemen (IEK-10)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)
2. DFG project 466417970 - Graph-Basiertes Generatives Maschinelles Learnen für optimale Moleküle (466417970) (466417970)

Appears in the scientific report 2023

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Database coverage:
; ; ; ; DOAJ Seal

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