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Optical filters made from random metasurfaces using Bayesian optimization.

Parker R Wray1, Elijah G Paul2, Harry A Atwater2

  • 1Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

Nanophotonics (Berlin, Germany)
|December 5, 2024
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Summary
This summary is machine-generated.

Researchers designed infrared optical filters using random dielectric particle metasurfaces. This inverse-design approach enables precise control over spectral bands by manipulating particle scattering and coupling.

Keywords:
Bayesian optimizationMie theoryoptical filtersrandom metasurfaces

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Area of Science:

  • Photonics and optical engineering
  • Materials science
  • Computational physics

Background:

  • Metasurfaces offer unique optical properties through engineered nanostructures.
  • Designing optical filters typically requires precise, ordered arrangements.
  • Randomly arranged particles present a challenge for predictable optical responses.

Purpose of the Study:

  • To theoretically investigate the design of optical filters using random metasurfaces.
  • To explore the potential of single-material, single-layer random dielectric particle systems.
  • To achieve specific spectral filtering (longpass, shortpass, bandpass, bandstop) in the infrared spectrum.

Main Methods:

  • Utilized a Bayesian and generalized Mie inverse-design approach.
  • Designed particle radii distributions for random metasurfaces.
  • Analyzed the relationship between optical response and multipole scattering (electric and magnetic) and near-field coupling.

Main Results:

  • Successfully designed random metasurfaces capable of various optical filtering functions (longpass, shortpass, bandpass, bandstop).
  • Demonstrated that optical response is directly linked to multipole scattering and near-field interactions of dielectric particles.
  • Showcased the influence of particle size distribution and inter-particle coupling on filter performance in disordered systems.

Conclusions:

  • Random metasurfaces composed of dielectric particles can be effectively designed for optical filtering applications.
  • The inverse-design method provides a pathway to control spectral characteristics in disordered photonic systems.
  • Understanding multipole scattering and coupling is crucial for optimizing random metasurface-based optical filters.