Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm
We propose a distributed multi-objective optimization (DMO) method for designing chiral plasmonic metasurface that satisfies multiple objectives simultaneously. We aim to improve the refractive index sensitivity of the archetypical Born-Kuhn type chiral plasmonic metasurface while ensuring that circ...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/10361529/ |
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| author | Xianglai Liao Lili Gui Shulei Bi Ang Gao Zhenming Yu Kun Xu |
| author_facet | Xianglai Liao Lili Gui Shulei Bi Ang Gao Zhenming Yu Kun Xu |
| author_sort | Xianglai Liao |
| collection | DOAJ |
| description | We propose a distributed multi-objective optimization (DMO) method for designing chiral plasmonic metasurface that satisfies multiple objectives simultaneously. We aim to improve the refractive index sensitivity of the archetypical Born-Kuhn type chiral plasmonic metasurface while ensuring that circular dichroism (CD) is as pronounced as possible at a designated resonance wavelength. By leveraging distributed technology, the proposed method significantly improves the time efficiency of the optimization process. The simulation results demonstrate approximately 33% enhancement in sensitivity by DMO, as well as greater than 100% boost in time efficiency compared to stand-alone optimization approaches. These findings highlight the potential of the proposed method to guide the design of chiral plasmonic metasurface sensors, enabling the simultaneous optimization of multiple objectives and facilitating advancements in chiral optics and sensing applications. |
| format | Article |
| id | doaj-art-4f2897fe4e3f4b52aa4d6d56c6140f32 |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-4f2897fe4e3f4b52aa4d6d56c6140f322025-08-20T03:32:46ZengIEEEIEEE Photonics Journal1943-06552024-01-011611610.1109/JPHOT.2023.334345810361529Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed AlgorithmXianglai Liao0https://orcid.org/0000-0002-6018-2710Lili Gui1https://orcid.org/0000-0002-3710-6330Shulei Bi2Ang Gao3Zhenming Yu4https://orcid.org/0000-0001-5532-9792Kun Xu5https://orcid.org/0000-0002-1663-9998State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaDepartment of Physics, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaWe propose a distributed multi-objective optimization (DMO) method for designing chiral plasmonic metasurface that satisfies multiple objectives simultaneously. We aim to improve the refractive index sensitivity of the archetypical Born-Kuhn type chiral plasmonic metasurface while ensuring that circular dichroism (CD) is as pronounced as possible at a designated resonance wavelength. By leveraging distributed technology, the proposed method significantly improves the time efficiency of the optimization process. The simulation results demonstrate approximately 33% enhancement in sensitivity by DMO, as well as greater than 100% boost in time efficiency compared to stand-alone optimization approaches. These findings highlight the potential of the proposed method to guide the design of chiral plasmonic metasurface sensors, enabling the simultaneous optimization of multiple objectives and facilitating advancements in chiral optics and sensing applications.https://ieeexplore.ieee.org/document/10361529/Chiral plasmonic metasurfacerefractive index sensingmulti-objective optimizationdistributed algorithm |
| spellingShingle | Xianglai Liao Lili Gui Shulei Bi Ang Gao Zhenming Yu Kun Xu Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm IEEE Photonics Journal Chiral plasmonic metasurface refractive index sensing multi-objective optimization distributed algorithm |
| title | Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm |
| title_full | Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm |
| title_fullStr | Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm |
| title_full_unstemmed | Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm |
| title_short | Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm |
| title_sort | multi objective optimization of chiral metasurface for sensing based on a distributed algorithm |
| topic | Chiral plasmonic metasurface refractive index sensing multi-objective optimization distributed algorithm |
| url | https://ieeexplore.ieee.org/document/10361529/ |
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