Optimized design for illusion device by genetic algorithm

Abstract 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...

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Autores principales: Zhenzhong Yu, Zhong Yang, Yan Zhang, Yizhi Wang, Xingliu Hu, Xiaomin Tian
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6936f529a14d479988f7f2db9ebafce7
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spelling oai:doaj.org-article:6936f529a14d479988f7f2db9ebafce72021-12-02T17:37:24ZOptimized design for illusion device by genetic algorithm10.1038/s41598-021-99055-92045-2322https://doaj.org/article/6936f529a14d479988f7f2db9ebafce72021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99055-9https://doaj.org/toc/2045-2322Abstract 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.Zhenzhong YuZhong YangYan ZhangYizhi WangXingliu HuXiaomin TianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Zhenzhong Yu
Zhong Yang
Yan Zhang
Yizhi Wang
Xingliu Hu
Xiaomin Tian
Optimized design for illusion device by genetic algorithm
description Abstract 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 article
author Zhenzhong Yu
Zhong Yang
Yan Zhang
Yizhi Wang
Xingliu Hu
Xiaomin Tian
author_facet Zhenzhong Yu
Zhong Yang
Yan Zhang
Yizhi Wang
Xingliu Hu
Xiaomin Tian
author_sort Zhenzhong Yu
title Optimized design for illusion device by genetic algorithm
title_short 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_sort optimized design for illusion device by genetic algorithm
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6936f529a14d479988f7f2db9ebafce7
work_keys_str_mv AT zhenzhongyu optimizeddesignforillusiondevicebygeneticalgorithm
AT zhongyang optimizeddesignforillusiondevicebygeneticalgorithm
AT yanzhang optimizeddesignforillusiondevicebygeneticalgorithm
AT yizhiwang optimizeddesignforillusiondevicebygeneticalgorithm
AT xingliuhu optimizeddesignforillusiondevicebygeneticalgorithm
AT xiaomintian optimizeddesignforillusiondevicebygeneticalgorithm
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