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mechanical engineering, statistical thermodynamics, near-interface micro- and nanoscale thermophysics and transport in liquid-vapor systems, computational modeling and simulation of energy conversion and transport processes at scales ranging from the molecular level to the device and system level, use of machine learning to enhance energy technology research and the efficiency of energy conversion and transport in applications, and use of machine learning to create next-generation energy technologies that autonomously adapt to maximize their performance and reduce their environmental impact .

nanostructured materials, thermal rectification, graphene, microscale heat transfer, nano scale heat transfer

drinking water, fuel-efficient stoves, indoor air quality, energy efficiency, developing countries, buildings energy efficiency

heat and mass transfer, micro scale transport, fuel cells, cooling at the chip level, semiconductor wafers, materials processing, laser surface interactions, nuclear reactor safety, phase change, buoyancy transport, bio heat transfer, reacting flows

nanotechnology, MEMS (microelectromechanical systems), NEMS (nanoelectromechanical systems), design and manufacturing of microsensors, microactuators, development of micromachining processes, silicon surface/bulk micromachining, micromolding process