Combinatorial Screening of Thermoelectric Materials

Abstract Advanced thermoelectric materials open new horizons for use in solid state power generation and refrigeration applications. This article describes a project that used state-of-the-art computational modeling and high-throughput experimentation to strategically screen the extensive material space and accelerate learning for materials development.