Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0

Fuente: arXiv

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Bibliographic Details
Main Authors:	Hayer, Nicolas, Wendel, Thorsten, Mandt, Stephan, Hasse, Hans, Jirasek, Fabian
Format:	Preprint
Published:	2024
Subjects:	Chemical Physics Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2408.05220