Ternary optimization for designing metasurfaces

Abstract A fully automated approach for designing metasurfaces whose unit cell may include metallic vias is proposed. Towards this aim, a ternary version of the particle swarm optimization (PSO) algorithm is employed in order to find the optimal metallic pattern and via-hole positions simultaneously...

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Autores principales:	Azin Hojjati, Mohammad Soleimani, Vahid Nayyeri, Omar M. Ramahi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d83fa6de5e3c416a9016deb60686e33c
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id	oai:doaj.org-article:d83fa6de5e3c416a9016deb60686e33c
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spelling	oai:doaj.org-article:d83fa6de5e3c416a9016deb60686e33c2021-12-02T18:53:14ZTernary optimization for designing metasurfaces10.1038/s41598-021-96564-52045-2322https://doaj.org/article/d83fa6de5e3c416a9016deb60686e33c2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96564-5https://doaj.org/toc/2045-2322Abstract A fully automated approach for designing metasurfaces whose unit cell may include metallic vias is proposed. Towards this aim, a ternary version of the particle swarm optimization (PSO) algorithm is employed in order to find the optimal metallic pattern and via-hole positions simultaneously. In the proposed design method, the upper surface of the unit cell is first pixelated. One of the possible three states of a metallic covered pixel, an uncovered etched pixel and a pixel containing a centered metalized via-hole is assigned to each pixel. The optimal state of each pixel is then determined by utilizing a ternary PSO algorithm to achieve favorable design goals. This method can be used for designing various metasurfaces as well as other via-assisted electromagnetic structures. As a proof of concept, the proposed method was applied to design two surfaces: a frequency selective surface with a minimum resonance frequency, and a linear-to-circular polarization converter with a maximum polarization conversion bandwidth. Comparison of the results with previous works confirms the efficiency and capability of the proposed method to design diverse metasurfaces in an automated fashion without the need for any theoretical or physical model.Azin HojjatiMohammad SoleimaniVahid NayyeriOmar M. RamahiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Azin Hojjati Mohammad Soleimani Vahid Nayyeri Omar M. Ramahi Ternary optimization for designing metasurfaces
description	Abstract A fully automated approach for designing metasurfaces whose unit cell may include metallic vias is proposed. Towards this aim, a ternary version of the particle swarm optimization (PSO) algorithm is employed in order to find the optimal metallic pattern and via-hole positions simultaneously. In the proposed design method, the upper surface of the unit cell is first pixelated. One of the possible three states of a metallic covered pixel, an uncovered etched pixel and a pixel containing a centered metalized via-hole is assigned to each pixel. The optimal state of each pixel is then determined by utilizing a ternary PSO algorithm to achieve favorable design goals. This method can be used for designing various metasurfaces as well as other via-assisted electromagnetic structures. As a proof of concept, the proposed method was applied to design two surfaces: a frequency selective surface with a minimum resonance frequency, and a linear-to-circular polarization converter with a maximum polarization conversion bandwidth. Comparison of the results with previous works confirms the efficiency and capability of the proposed method to design diverse metasurfaces in an automated fashion without the need for any theoretical or physical model.
format	article
author	Azin Hojjati Mohammad Soleimani Vahid Nayyeri Omar M. Ramahi
author_facet	Azin Hojjati Mohammad Soleimani Vahid Nayyeri Omar M. Ramahi
author_sort	Azin Hojjati
title	Ternary optimization for designing metasurfaces
title_short	Ternary optimization for designing metasurfaces
title_full	Ternary optimization for designing metasurfaces
title_fullStr	Ternary optimization for designing metasurfaces
title_full_unstemmed	Ternary optimization for designing metasurfaces
title_sort	ternary optimization for designing metasurfaces
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d83fa6de5e3c416a9016deb60686e33c
work_keys_str_mv	AT azinhojjati ternaryoptimizationfordesigningmetasurfaces AT mohammadsoleimani ternaryoptimizationfordesigningmetasurfaces AT vahidnayyeri ternaryoptimizationfordesigningmetasurfaces AT omarmramahi ternaryoptimizationfordesigningmetasurfaces
_version_	1718377355784749056

Ternary optimization for designing metasurfaces

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