Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles

Chenru Duan, Shuxin Chen, Michael G. Taylor +2

Computational virtual high-throughput screening (VHTS) with density functional theory (DFT) and machine-learning (ML)-acceleration is essential in rapid materials discovery. By nec…