Metasurface-enabled electromagnetic illusion with generic algorithm

Bibliographic Details
Title: Metasurface-enabled electromagnetic illusion with generic algorithm
Authors: Rongrong Zhu, Tianhang Chen, Kai Wang, Hao Wu, Huan Lu
Source: Frontiers in Materials, Vol 10 (2023)
Publisher Information: Frontiers Media S.A., 2023.
Publication Year: 2023
Collection: LCC:Technology
Subject Terms: tunable metasurface, electromagnetic illusion, genetic algorithm, global optimization, inverse design, Technology
More Details: Electromagnetic cloak or illusion, which can interfere with device detection and provide superior self-protection capabilities for animals or humans, has received much attention. The proposal of transformation optics provides a generalized strategy for realizing electromagnetic illusion. However, the complex parameter composition causes a substantial computational cost, which is not conducive to practical applications. To overcome these challenges, we report an intelligent illusory metasurface optimized by a genetic algorithm, which not only presents predefined illusory effects but also reduces the parameter space in physics. By designing a high-performance tunable metasurface, a high-fidelity inverse design is performed in simulation. Near-field and far field results show that the metasurface can generate virtual targets in different scenarios and realize electromagnetic illusion. This work is helpful in facilitating the practical application of electromagnetic illusion strategies.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2296-8016
Relation: https://www.frontiersin.org/articles/10.3389/fmats.2023.1289250/full; https://doaj.org/toc/2296-8016
DOI: 10.3389/fmats.2023.1289250
Access URL: https://doaj.org/article/c70f946165c341f1bb1a1131f430c2b3
Accession Number: edsdoj.70f946165c341f1bb1a1131f430c2b3
Database: Directory of Open Access Journals
More Details
ISSN:22968016
DOI:10.3389/fmats.2023.1289250
Published in:Frontiers in Materials
Language:English