Decoding the Stability of Transition-Metal Alloys with Theory-infused Deep Learning

Yang Huang, Shih-Han Wang, Shuyi Cao +2

We introduce an interpretable deep learning framework that predicts the cohesive energy of transition-metal alloys (TMAs) by embedding cohesion theory within graph neural networks…