Our lab is interested in Materials Informatics: the intersection between numerical simulation, materials, and machine learning. We are building methods to perform atomistic numerical simulation of thermal transport in nanostructures and across materials interfaces, with applications in thermoelectric energy harvesting and managing heat dissipation in nanoelectronics. Our goal is to merge these with machine learning techniques in order to identify those combinations of materials that will lead to superlative energy efficiency or thermal management so that we can solve the problem of self-heating in future integrated circuits.

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