Light: Science & Applications (Oct 2024)

Shape optimization for high efficiency metasurfaces: theory and implementation

  • Paulo Dainese,
  • Louis Marra,
  • Davide Cassara,
  • Ary Portes,
  • Jaewon Oh,
  • Jun Yang,
  • Alfonso Palmieri,
  • Janderson Rocha Rodrigues,
  • Ahmed H. Dorrah,
  • Federico Capasso

DOI
https://doi.org/10.1038/s41377-024-01629-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Abstract Complex non-local behavior makes designing high efficiency and multifunctional metasurfaces a significant challenge. While using libraries of meta-atoms provide a simple and fast implementation methodology, pillar to pillar interaction often imposes performance limitations. On the other extreme, inverse design based on topology optimization leverages non-local coupling to achieve high efficiency, but leads to complex and difficult to fabricate structures. In this paper, we demonstrate numerically and experimentally a shape optimization method that enables high efficiency metasurfaces while providing direct control of the structure complexity through a Fourier decomposition of the surface gradient. The proposed method provides a path towards manufacturability of inverse-designed high efficiency metasurfaces.