Identifying Surface-Enhanced Raman Spectra with a Raman Library Using Machine Learning
Author:
Affiliation:
1. Department of Physics and Astronomy, University of Georgia, Athens, Georgia 30602, United States
2. Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, United States
Funder
National Institute of Environmental Health Sciences
Welch Foundation
Rice University
Publisher
American Chemical Society (ACS)
Subject
General Physics and Astronomy,General Engineering,General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsnano.3c05510
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