Reaping the benefits of machine learning pattern recognition in nanophotonic component design

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1117/12.2506787
AuthorSearch for: 1; Search for: 2; Search for: 2; Search for: 2; Search for: 2; Search for: 2ORCID identifier: https://orcid.org/0000-0003-4232-9130; Search for: ; Search for: ; Search for: ; Search for: ; Search for: 2
EditorSearch for: García-Blanco, Sonia M.; Search for: Cheben, Pavel2ORCID identifier: https://orcid.org/0000-0003-4232-9130
Affiliation
  1. National Research Council of Canada. Digital Technologies
  2. National Research Council of Canada. Advanced Electronics and Photonics
FormatText, Article
ConferenceIntegrated Optics: Devices, Materials, and Technologies XXIII, February 2-7, 2019, San Francisco, USA
Subjectmachine learning; optical design; silicon; nanophotonics; metamaterials; pattern recognition; principal component analysis
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LanguageEnglish
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Record identifierfce6446a-ab1d-4404-8411-faa628cf6fad
Record created2019-03-12
Record modified2022-01-14
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