JARVIS-DFT

New GNN models advance crystal property prediction and molecular simulations

Researchers have developed new graph neural network (GNN) models for predicting crystal properties. One approach, CPGN, uses a multi-scale GNN to jointly learn atomic, bond, and coordination-polyhedron representations, …