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Machine Learning
Learning and Predicting Photonic Responses of Plasmonic Nanoparticle Assemblies via Dual Variational Autoencoders
The application of machine learning is demonstrated for rapid and accurate extraction of plasmonic particles cluster geometries from …
Muammer Y. Yaman
,
Sergei v. Kalinin
,
Kathryn N. Guye
,
David Ginger
,
Maxim Ziatdinov
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DOI
Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data
Time-series analysis is critical for a diversity of applications in science and engineering. By leveraging the strengths of modern …
Daniel E. Shea
,
Rajiv Giridharagopal
,
David Ginger
,
Steven L. Brunton
,
J. Nathan Kutz
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DOI
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