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Optimized design for illusion device by genetic algorithm
The illusion device developed from the scattering cancellation employs very simple homogeneous and isotropic materials, but this device is only valid for electrically small objects. In this paper, we prove that the illusion device optimized by genetic algorithm can be applied to large-scale occasion...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484303/ https://www.ncbi.nlm.nih.gov/pubmed/34593950 http://dx.doi.org/10.1038/s41598-021-99055-9 |
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author | Yu, Zhenzhong Yang, Zhong Zhang, Yan Wang, Yizhi Hu, Xingliu Tian, Xiaomin |
author_facet | Yu, Zhenzhong Yang, Zhong Zhang, Yan Wang, Yizhi Hu, Xingliu Tian, Xiaomin |
author_sort | Yu, Zhenzhong |
collection | PubMed |
description | The illusion device developed from the scattering cancellation employs very simple homogeneous and isotropic materials, but this device is only valid for electrically small objects. In this paper, we prove that the illusion device optimized by genetic algorithm can be applied to large-scale occasions. For an electrically small target, an optimized core–shell illusion device can achieve better illusion effect than the analytical design based on the scattering cancellation. With the increase of the device size, the ability of the single-layered shell to manipulate the scattering is very limited. For a moderate-size target, two optimized multi-layered examples are presented: one is to make a dielectric cylinder appear as another dielectric target, and the other is to make a conducting cylinder behave like a double-negative-material target. The full-wave simulations are carried out to visualize the similar field distributions of the target and the optimized multi-layered design. This optimized design greatly widens the size application range of the illusion device and can also improve the illusion performance with simple material parameters. |
format | Online Article Text |
id | pubmed-8484303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84843032021-10-01 Optimized design for illusion device by genetic algorithm Yu, Zhenzhong Yang, Zhong Zhang, Yan Wang, Yizhi Hu, Xingliu Tian, Xiaomin Sci Rep Article The illusion device developed from the scattering cancellation employs very simple homogeneous and isotropic materials, but this device is only valid for electrically small objects. In this paper, we prove that the illusion device optimized by genetic algorithm can be applied to large-scale occasions. For an electrically small target, an optimized core–shell illusion device can achieve better illusion effect than the analytical design based on the scattering cancellation. With the increase of the device size, the ability of the single-layered shell to manipulate the scattering is very limited. For a moderate-size target, two optimized multi-layered examples are presented: one is to make a dielectric cylinder appear as another dielectric target, and the other is to make a conducting cylinder behave like a double-negative-material target. The full-wave simulations are carried out to visualize the similar field distributions of the target and the optimized multi-layered design. This optimized design greatly widens the size application range of the illusion device and can also improve the illusion performance with simple material parameters. Nature Publishing Group UK 2021-09-30 /pmc/articles/PMC8484303/ /pubmed/34593950 http://dx.doi.org/10.1038/s41598-021-99055-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yu, Zhenzhong Yang, Zhong Zhang, Yan Wang, Yizhi Hu, Xingliu Tian, Xiaomin Optimized design for illusion device by genetic algorithm |
title | Optimized design for illusion device by genetic algorithm |
title_full | Optimized design for illusion device by genetic algorithm |
title_fullStr | Optimized design for illusion device by genetic algorithm |
title_full_unstemmed | Optimized design for illusion device by genetic algorithm |
title_short | Optimized design for illusion device by genetic algorithm |
title_sort | optimized design for illusion device by genetic algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484303/ https://www.ncbi.nlm.nih.gov/pubmed/34593950 http://dx.doi.org/10.1038/s41598-021-99055-9 |
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