An active learning approach for improving the performance of equilibrium based chemical simulations

Mary Savino, Céline Lévy-Leduc, Marc Leconte +1

In this paper, we propose a novel sequential data-driven method for dealing with equilibrium based chemical simulations, which can be seen as a specific machine learning approach c…