Mechanical strength and reliability in SiC and other semiconductor devices
Application of machine learning techniques to molecular dynamics simulations
Effects of excess carriers on the mechanical properties of semiconductor materials
RESEARCH DETAILS
We perform multiscale simulations, including electronic-scale first-principles analysis, atomic-scale molecular dynamics, and continuum-scale finite element analysis, to elucidate the mechanics and strength of materials and related phenomena. These methods also include machine learning techniques. Our current focus is primarily on, but not limited to, semiconductor and related materials such as SiC and SiO2. We are also examining the electrical effects of excess carriers on the mechanical properties of semiconductor materials.