Predicting Activity Coefficients at Infinite Dilution for Varying Temperatures by Matrix Completion

Activity coefficients describe the nonideality of liquid mixtures and are essential for calculating equilibria. The activity at infinite dilution in binary particularly important as finite concentrations can be predicted based on their knowledge not only but also multicomponent mixtures. available experimental data these is readily accessible databases organized a matrix with rows representing solutes columns solvents or vice versa. As lacking many mixtures, this sparsely populated. Filling its gaps using predictive methods essential. Recently, completion (MCMs) have been applied successfully purpose. However, isothermal sets considered. In present work, we apply an MCM to predict varying temperatures. Furthermore, show how one incorporate physical nature temperature dependency dilution. predictions obtained new approach outperform those best currently prediction method dilution, modified UNIFAC (Dortmund) method.