Optical filters made from random metasurfaces using Bayesian optimization

Optical filters made from random metasurfaces using Bayesian optimization

We theoretically investigate the ability to design optical filters from a single material and a single layer of randomly dispersed resonant dielectric particles, defining a random metasurface. Using a Bayesian and generalized Mie inverse-design approach, we design particle radii distributions that g...

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Bibliographic Details
Main Authors: Wray Parker R., Paul Elijah G., Atwater Harry A.
Format: Article
Language:English
Published: De Gruyter 2024-01-01
Series:Nanophotonics
Subjects:
optical filters
random metasurfaces
bayesian optimization
mie theory
Online Access:https://doi.org/10.1515/nanoph-2023-0649

Internet

https://doi.org/10.1515/nanoph-2023-0649

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