We develop theoretical methods and algorithms to simulate the structure and phase transitions of matter under extreme conditions of pressure, temperature, and strain. We utilize state-of-the-art atomistic simulation techniques, including machine learning.

Our research interests include:

Earth's interior: Understanding matters under extreme conditions and their Impact on the formation and evolution of Earth's Interior

Dynamics simulation: Developing algorithms to accelerate rare event sampling and understanding structure-dynamics correlations

Material discovery: Computationally searching for stable materials with desired functionality