MRS Spring 2022: Design of Alkali Superionic Conductors with Machine Learning

Prof Ong gave a talk on Design of Alkali Superionic Conductors with ML at the MRS Spring 2022 meeting. In this talk, he highlights how new developments in using ML to construct interatomic potentials can greatly extend the accessible time and length scales in simulations, which can in turn lead to improved accuracy and new insights into the behavior of alkali superionic conductors. He also talks about the development of a universal graph potential for the periodic table utilizing data on structural relaxations performed by the Materials Project over the past 10 years.