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atmospheric science, climate dynamics, monsoons, Earth's hydrological cycle

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 .

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