His research involves cutting-edge materials theory and simulation applied to problems across solid-state chemistry and physics, including materials for solar cells and fuels, batteries, thermoelectrics, and solid-state lighting. He has an expertise in the theory of semiconductors and dielectrics, and is developing innovative solutions for materials data, informatics and design. His group published a review on machine learning for molecules and materials in Nature
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