Jan G. Rittig

DifferentiableThermodynamic Phase-Equilibria forMachine Learning

Abstract Accurate prediction of phase equilibria remains a central challenge in chemical engineering. Physics-consistent machine learning methods that incorporate thermodynamic structure into neural networks have recently shown strong performance for activity-coefficient modeling...