Computational Data-Driven Materials Discovery

Machine learning (ML) from large materials datasets enables accelerated materials discovery. Currently, the most accessible way to generate uniform, well-curated, voluminous datasets is by the application of high-throughput first principles computations. Here, we present the guiding principles of using computational data and ML to drive new materials discovery.