Electronic Structure Methods and Machine Learning

We develop advanced electronic structure methods such as density functional theory for modeling both static and dynamic material properties. This includes creating novel exchange-correlation approximations for ground-state density functional theory, and applying time-dependent density functional theory for dynamic phenomena. We also integrate artificial intelligence techniques to enhance the accuracy and efficiency of electronic structure methods.