Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion

no code implementations • 29 Jan 2020 • Fabian Jirasek, Rodrigo A. S. Alves, Julie Damay, Robert A. Vandermeulen, Robert Bamler, Michael Bortz, Stephan Mandt, Marius Kloft, Hans Hasse

Activity coefficients, which are a measure of the non-ideality of liquid mixtures, are a key property in chemical engineering with relevance to modeling chemical and phase equilibria as well as transport processes.

BIG-bench Machine Learning Matrix Completion