Advancing thermodynamic group-contribution methods by machine learning: UNIFAC 2.0
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Hayer, Nicolas (ORCID:0000000273218532)↗
Engineering topics
Publications and source records attributed to Mandt, Stephan (ORCID:0000000178367839).
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We introduce HANNA, the first hybrid neural network model that strictly complies with all thermodynamic consistency criteria for predicting activity coefficients and outperforms current benchmark methods in terms of accuracy and applicability.