Machine Learning Emergence from Quantum Matter Data
A presentation from 2022–2023 Edward, Frances, and Shirley B. Daniels Fellow Eun-Ah Kim
Kim is a physicist whose research interests lie in the theoretical study of the collective phenomena condensed matter systems exhibit—and in understanding how such phenomena emerges from microscopic physics. At Radcliffe, she will collaborate with several Harvard physicists to harness machine learning tools to gain new insights for understanding and utilizing quantum matter from curated databases and quantum simulator data.
Free and open to the public.
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Live closed captioning will be available for the webinar.