Machine Learning Materials Properties by Encoding Orbital-Projected Density of States

Paulo Pires, Pierre-Paul De Breuck, Mauro Fava +2

Graph neural networks have become the dominant machine-learning architecture for predicting materials properties from crystal structures. Yet the initialization of atomic node feat…