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LASSP -  Laboratory of Atomic and Solid State Physics

Cornell Laboratory for Atomic and Solid State Physics

Eun-Ah Kim's Machine Learning and Understanding Quantum Emergence in Nature

Eun-Ah Kim's research using machine learning to find meaningful patterns in quantum matter experimental data was recognized in Nature's News.

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“Some of those images were taken on materials that have been deemed important and mysterious for two decades,” said Eun-Ah Kim, professor of physics. “You wonder what kinds of secrets are buried in those images. We would like to unlock those secrets.”

Kim is senior author of “Machine Learning in Electronic Quantum Matter Imaging Experiments,” which published in Nature June 19. First authors are Yi Zhang, formerly a postdoctoral researcher in Kim’s lab and now at Peking University in China, and Andrej Mesaros, a former postdoctoral researcher in Kim’s lab now at the Université Paris-Sud in France.

Co-authors include J.C. Séamus Davis, Cornell’s James Gilbert White Distinguished Professor in the Physical Sciences, an innovator in STM-driven studies.

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