Exploring the large chemical space in search of thermodynamically stable and mechanically robust MXenes via machine learning

Abstract

A high-throughput MXene screening framework that combines machine learning and density functional theory calculations was proposed to expeditiously evaluate the thermodynamic stability of various MXenes and to explore their mechanical properties.