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

Nicolas Hayer, Thorsten Wendel, Stephan Mandt +2

Accurate prediction of thermodynamic properties is pivotal in chemical engineering for optimizing process efficiency and sustainability. Physical group-contribution (GC) methods ar…