Over the past several years, the field of materials informatics has grown dramatically. Applications of machine learning (ML) and artificial intelligence (AI) to materials science are now commonplace. As materials informatics has matured from a niche area of research into an established discipline, distinct frontiers of this discipline have come into focus, and best practices for applying ML to materials are emerging. The purpose of this editorial is to outline five broad categories of research that, in my view, represent particularly high-impact opportunities in materials informatics today.
Bryce Meredig
Chem. Mater. 2019, 31, 23, 9579–9581. Publication Date: December 10, 2019 https://doi.org/10.1021/acs.chemmater.9b04078