Teruyasu Mizoguchi

About

Teruyasu Mizoguchi is a Professor at the University of Tokyo, Japan. His research focuses on advanced computational methods in materials science, particularly in the areas of machine learning applications for phase transitions, electronic structures, and defect analysis in solid materials. Recent contributions include studies on boron vacancy concentration in hexagonal boron nitride and the development of precision machine learning force fields for complex materials.