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:10.1038/s41377-024-01629-5

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Shape optimization for high efficiency metasurfaces: theory and implementation

Original Articles

- Shape optimization for high efficiency metasurfaces: theory and implementation
- Light: Science & Applications Vol. 13, Issue 12, Pages: 3171-3180(2024)
- Affiliations：
  
  1.Corning Research and Development Corporation, 184 Science Center Dr, Painted Post, NY 14870, USA
  2.Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA 02138, USA
- Author bio：
  
  Paulo Dainese (dainesep@corning.com)
  Federico Capasso (capasso@seas.harvard.edu)
- Funds：
- DOI：10.1038/s41377-024-01629-5
  CLC：
- Received：11 June 2024，
  
  Revised：02 September 2024，
  
  Accepted：2024-09-04，
  
  Published Online：29 October 2024，
  
  Published：31 December 2024
- Accepted：
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Dainese, P. et al. Shape optimization for high efficiency metasurfaces: theory and implementation. Light: Science & Applications, 13, 3171-3180 (2024).
DOI：

Dainese, P. et al. Shape optimization for high efficiency metasurfaces: theory and implementation. Light: Science & Applications, 13, 3171-3180 (2024). DOI： 10.1038/s41377-024-01629-5.

摘要

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.

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Keywords

references

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