Accelerating Material Property Prediction using Generically Complete Isometry Invariants. (arXiv:2401.15089v1 [cs.LG])

Material or crystal property prediction using machine learning has grown popular in recent years as it provides a computationally efficient replacement to classical simulation methods. A crucial first step for any of these algorithms is the represent...