Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session S62: Machine Learning for Quantum Matter IV
8:00 AM–10:48 AM,
Thursday, March 9, 2023
Room: Room 417
Sponsoring
Unit:
DCOMP
Chair: Shiming Lei, Rice University
Abstract: S62.00005 : Machine Learning for Optical Scanning Probe Nanoscopy*
9:12 AM–9:24 AM
Presenter:
Suheng Xu
(Columbia University)
Authors:
Suheng Xu
(Columbia University)
Xinzhong Chen
(Stony Brook University (SUNY))
Sara Shabani
(Columbia University)
Yueqi Zhao
(UCSD)
Matthew Fu
(Columbia University)
Andrew Millis
(Columbia University)
Michael M Fogler
(University of California, San Diego)
Abhay N Pasupathy
(Columbia University)
Mengkun Liu
(Stony Brook University (SUNY))
Dmitri N Basov
(Columbia University)
*The development of the machine learning used for polaritonic imaging is supported as part of the Energy Frontier Research Center on Programmable Quantum Materials funded by the US Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under award no. DE-SC0019443. The development of ML protocols at Columbia, Stony Brook, and Brookhaven is supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) under contract number DE-SC0012704. Mengkun Liu was partially supported by the RISE2 node of NASA's Solar System Exploration Research Virtual Institute under NASA Cooperative Agreement 80NSSC19MO2015. The Flatiron Institute is a Division of the Simons Foundation.
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