Research

We perform experiments based on ab-initio calculation! 

Computation-aided materials design has become an vital part of the materials science research. Over the past few decades, there has been remarkable progress in in-silico materials design, driven by advancements in computational power, algorithm development, and the emergence of machine learning-based methods. In our research, we employ density functional theory (DFT) and dynamical mean field theory (DMFT) to understand and predict the physical and chemical properties of materials.