Ren-Quan Li

Machine learning-driven identification of key factors influencing hydrogen storage performance in metal hydrides

Data-driven machine learning (ML) methods are now indispensable for analyzing and predicting material properties, offering critical insights for the design and synthesis of new materials. This study leverages ML approaches to identify and analyze the key factors influencing the thermodynamic properties of metal hydride...