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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-01-01
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| Series: | Nanophotonics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nanoph-2023-0649 |
| _version_ | 1797323407254093824 |
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| author | Wray Parker R. Paul Elijah G. Atwater Harry A. |
| author_facet | Wray Parker R. Paul Elijah G. Atwater Harry A. |
| author_sort | Wray Parker R. |
| collection | DOAJ |
| description | 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 give rise to longpass, shortpass, bandpass, and bandstop spectral bands in the infrared. The optical response is shown to be directly related to electric and magnetic multipole scattering of the constituent particles and their near field coupling. We discuss the effect of the particle size distribution and particle–particle coupling interactions on filter design in random systems lacking long-range order. |
| first_indexed | 2024-03-08T05:29:12Z |
| format | Article |
| id | doaj.art-aaf32fd185ac4b08ae5258118b1146d2 |
| institution | Directory Open Access Journal |
| issn | 2192-8606 2192-8614 |
| language | English |
| last_indexed | 2024-03-08T05:29:12Z |
| publishDate | 2024-01-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Nanophotonics |
| spelling | doaj.art-aaf32fd185ac4b08ae5258118b1146d22024-02-06T09:08:40ZengDe GruyterNanophotonics2192-86062192-86142024-01-0113218319310.1515/nanoph-2023-0649Optical filters made from random metasurfaces using Bayesian optimizationWray Parker R.0Paul Elijah G.1Atwater Harry A.2Department of Electrical Engineering, California Institute of Technology, Pasadena, CA91125, USAThomas J. Watson Laboratories of Applied Physics, California Institute of Technology, Pasadena, CA91125, USAThomas J. Watson Laboratories of Applied Physics, California Institute of Technology, Pasadena, CA91125, USAWe 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 give rise to longpass, shortpass, bandpass, and bandstop spectral bands in the infrared. The optical response is shown to be directly related to electric and magnetic multipole scattering of the constituent particles and their near field coupling. We discuss the effect of the particle size distribution and particle–particle coupling interactions on filter design in random systems lacking long-range order.https://doi.org/10.1515/nanoph-2023-0649optical filtersrandom metasurfacesbayesian optimizationmie theory |
| spellingShingle | Wray Parker R. Paul Elijah G. Atwater Harry A. Optical filters made from random metasurfaces using Bayesian optimization Nanophotonics optical filters random metasurfaces bayesian optimization mie theory |
| title | Optical filters made from random metasurfaces using Bayesian optimization |
| title_full | Optical filters made from random metasurfaces using Bayesian optimization |
| title_fullStr | Optical filters made from random metasurfaces using Bayesian optimization |
| title_full_unstemmed | Optical filters made from random metasurfaces using Bayesian optimization |
| title_short | Optical filters made from random metasurfaces using Bayesian optimization |
| title_sort | optical filters made from random metasurfaces using bayesian optimization |
| topic | optical filters random metasurfaces bayesian optimization mie theory |
| url | https://doi.org/10.1515/nanoph-2023-0649 |
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