Browsing: Formation Energy

This article discusses a deep transfer learning approach to predict thermodynamically stable perovskite oxides based on a large computational dataset of spinel oxides. A…

This article discusses the use of graph neural network (GNN) models for predicting formation energy, a fundamental property that dictates the phase stability of…