Sustainable energy, thermal management, and energy storage are amon the greatest challenges facing the society, and we can contribute. Solutions to these challenges rely on extraordinarily fundamental and innovative approaches. In our lab, we are developing innovative energy solutions with emerging tools
including nanotechnology, machine learning, large scale computation, and additive manufacturing.
Current research themes include: (1) Atomistic simulations of thermal transport for sustainable energy and electonics thermal management applications; (2) Nanocomposites and bio-inspired nanostructures for radiative cooling; (3) Machine learning, optimization, and high throughput design; (4) Additive manufacturing of materials and devices. These projects involve theoretical, computational, and experimental components. Currently our lab devotes ~60% efforts to theoretical and simulation studies, and ~40% to experimental work. Theoretical tools include heat transfer, materials science, quantum mechanics, solid state physics, optics, and electromagnetic theory. Computational tools involve machine learning, molecular dynamics, first principles calculations, Monte-Carlo simulations, Boltzmann transport theory, and finite element/difference/volume methods. Experimental tools include fabrication or additive manufacturing of nanomaterials and devices, characterizations of these materials and devices using advanced imaging and spectroscopy techniques, and system testing.
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1. Atomistic simulations of thermal transport for electronics thermal management and sustainable energy applications [Summary Slide]
