Data-driven prediction of NaCl-type entropy-stabilized oxide compositions from first-principles and supervised learning
Entropy-stabilized oxides (ESOs) open access to vast multicomponent compositional spaces, but identifying promising candidates remains challenging because of the large number of possible mixtures and the need to assess their stability against competing phases. In this work, we develop a high-throughput computational fr...