Theoretical prediction of semiconductor properties and data-driven materials exploration

Abstract

Theoretical prediction of defect properties, as well as fundamental bulk properties, is a key ingredient for the computational discovery of novel materials. In this talk, I will report systematic prediction of the fundamental and defect properties of semiconductors using first-principles calculations and the exploration of novel materials based on the computational data, with an emphasis on nitride semiconductors.