Journal
2021 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)
Volume -, Issue -, Pages -Publisher
IEEE
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Funding
- Office of Naval Research (ONR) [N00014-18-1-2055]
- National Science Foundation [ECCS-1542174]
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This study presents a tunable hybrid metasurface for non-volatile optical modulation, utilizing phase-change materials and plasmon hybridization, and investigates the impact of structural parameters on optical performance through machine learning algorithms.
We experimentally demonstrate a tunable hybrid metasurface benefiting from phase-change materials and plasmon hybridization for non-volatile optical modulation. We also leverage machine learning algorithms to study the effect of structural parameters on the optical performance. (C) 2021 The Author(s)
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