Level set methods for gradient-free optimization of metasurface arrays.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 Jul 2024
Historique:
received: 09 08 2023
accepted: 08 07 2024
medline: 20 7 2024
pubmed: 20 7 2024
entrez: 19 7 2024
Statut: epublish

Résumé

Global optimization techniques are increasingly preferred over human-driven methods in the design of electromagnetic structures such as metasurfaces, and careful construction and parameterization of the physical structure is critical in ensuring computational efficiency and convergence of the optimization algorithm to a globally optimal solution. While many design variables in physical systems take discrete values, optimization algorithms often benefit from a continuous design space. This work demonstrates the use of level set functions as a continuous basis for designing material distributions for metasurface arrays and introduces an improved parameterization which is termed the periodic level set function. We explore the use of alternate norms in the definition of the level set function and define a new pseudo-inverse technique for upsampling basis coefficients with these norms. The level set method is compared to the fragmented parameterization and shows improved electromagnetic responses for two dissimilar cost functions: a narrowband objective and a broadband objective. Finally, we manufacture an optimized level set metasurface and measure its scattering parameters to demonstrate real-world performance.

Identifiants

pubmed: 39030316
doi: 10.1038/s41598-024-67142-2
pii: 10.1038/s41598-024-67142-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

16674

Informations de copyright

© 2024. The Author(s).

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Auteurs

Alex Saad-Falcon (A)

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, 30332, USA. alexsaadfalcon@gatech.edu.

Christopher Howard (C)

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, 30332, USA.
Georgia Tech Research Institute, Advanced Concepts Laboratory, Atlanta, GA, 30318, USA.

Justin Romberg (J)

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, 30332, USA.

Kenneth Allen (K)

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, 30332, USA.
Georgia Tech Research Institute, Advanced Concepts Laboratory, Atlanta, GA, 30318, USA.

Classifications MeSH