LEAP Lab advances transport physics, develops energy materials, and pushes the frontiers of optical methods to close the energy efficiency gap in computing hardware — bringing AI's energy footprint closer to the fundamental limits of computation.
We use artificial-intelligence-empowered first-principles calculations to uncover how energy carriers — electrons, phonons, spins, and magnons — generate and move heat inside computing devices, with the goal of understanding and ultimately suppressing unwanted heat through new physics.
We apply the principles of chemistry to design, synthesize, and characterize molecular materials with tailored electronic and thermal properties — helping close the gap between AI-driven materials prediction and real-world synthesis and validation.
We push optical spectroscopy techniques, including thermal-wave and beam-offset methods, toward nanoscale imaging of transport in electronic and energy materials — from characterizing wafers to evaluating operating electronics.
