A Neural Network Approach to Predict Gibbs Free Energy of Ternary Solid Solutions

Paul Laiu, Ying Yang, Massimiliano Lupo Pasini +2

We present a data-centric deep learning (DL) approach using neural networks (NNs) to predict the thermodynamics of ternary solid solutions. We explore how NNs can be trained with a…