Materials Science Research Lecture
"Getting Something for Nothing: Classical and Machine-Learning Methods for Quantum Simulation”
More about the Speaker:
Thomas Miller’s research focuses on the development of theoretical and computational methods to study chemical processes that are related to catalysis, battery technologies, and membrane protein biosynthesis. After completing his undergraduate studies at Texas A&M University, he attended graduate school in the UK on a British Marshall Scholarship and received his Ph.D. from Oxford University in 2005. Miller then returned to the US for a postdoctoral fellowship at UC Berkeley. He joined the faculty of the California Institute of Technology in 2008 and was promoted to full professor in 2013. While at Caltech, he has received awards that include the Sloan Research Fellowship, NSF CAREER Award, Associated Students of Caltech Teaching Award, Dreyfus Teacher-Scholar Award, and the ACS Early-Career Award in Theoretical Chemistry.
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