Accelerating Material Property Prediction using Generically Complete Isometry Invariants

Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin

Periodic material or crystal property prediction using machine learning has grown popular in recent years as it provides a computationally efficient replacement for classical simul…