Computational condensed-matter physics, statistical physics, and their intersections with Earth and planetary sciences。

Our work primarily employs first-principles calculations, molecular dynamics simulations, and machine-learning approaches to develop theoretical models and algorithms for studying the structures and phase transitions of materials under diverse pressure, temperature, and stress conditions. Research topics include the structure and evolution of Earth’s and planetary interiors, phase-transition mechanisms, and materials prediction etc.