Outside Front Cover: Volume 1 Issue 2. Issue 2 (30th April 2022) - Unknown
Abstract : Outside Front Cover Machine learning, as a branch of artifi cial intelligence, has shown unprecedented potential in the revolution of the materials research paradigm. To speed up the research and development of energy storage materials, machine learning has been widely used in many aspects, including composition/structure, processing, performance and properties. The interdisciplinary integration of machine learning and materials science will facilitate the productions of innovative results and advance materials research.