Exploring Thermoelectric Properties of Noval Materials

ETERNAL sets out to develop numerical tools to predict and analyze novel thermoelectric materials by linking theoretical physics, computational materials science, and machine learning. To achieve this ambitious goal, an innovative theoretical framework of new concepts and methods to describe, analyze, and understand materials and their functions will be developed. ETERNAL will systematically interweave density-functional theory, quantum chemistry, statistical mechanics, and machine learning.