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

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cond-mat.mtrl-sci2022★ 1 cited

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…