Tag: DFT

Materials

Investigates ferroelectric switching modeling by comparing four cost-effective DFT methods against high-accuracy ab initio approaches, aiming to establish reliable benchmarks for active learning workflows.

Materials Science / First Principles

Google DeepMind's GNN system for materials discovery predicting 2.2M new crystal structures with 380k stable ones, expanding known stable materials by nearly an order of magnitude.