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 D53: Machine Learning for Spectroscopy
3:00 PM–5:48 PM,
Monday, March 6, 2023
Room: Room 307
Sponsoring
Unit:
GDS
Chair: Nina Andrejevic, Argonne National Laboratory; Davis Unruh, Argonne National Laboratory
Abstract: D53.00006 : A machine learning framework for Raman spectrum prediction*
4:24 PM–4:36 PM
Presenter:
Maria K Chan
(Argonne National Laboratory)
Authors:
Nina Andrejevic
(Argonne National Laboratory)
Michael J Davis
(Argonne National Laboratory)
Mingda Li
(Massachusetts Institute of Technology MIT)
Maria K Chan
(Argonne National Laboratory)
*This research used resources of the Center for Nanoscale Materials, a U.S. DOE Office of Science User Facility, and is based on work supported by LDRD funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. DOE under Contract No. DE-AC02-06CH11357. M.C. acknowledges support from the BES SUFD Early Career award. M.L. acknowledges support from U.S. DOE Office of Science, Basic Energy Sciences awards No. DE-SC0020148 and DE-SC0021940, and from NSF DMR-2118448 and Norman C. Rasmussen Career Development Chair.
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