Research on the Generation of High-Purity Vortex Beams Aided by Genetic Algorithms

Vortex beams (VBs) generated by plasmonic metasurfaces hold great potential in the field of information transmission due to their unique helical phase wavefronts and infinite eigenstates. However, achieving perfect multiplexing and superposition of VBs with different orders remains a challenging issue in nanophotonics research. In this paper, based on a single-layer metallic porous metasurface structure applicable to the infrared spectrum, VBs with orders 2, 4, 6, and 8 are realized through the arrangement of annular elliptical apertures. Moreover, perfect VBs are achieved by optimizing key structural parameters using a genetic algorithm. The optimization of key structural parameters via genetic-based optimization algorithms to attain the desired effects can significantly reduce the workload of manual parameter adjustment. In addition, leveraging the orthogonality between VBs of different orders, concentric circular multi-channel VBs array (<i>l</i> = 2, 6) and (<i>l</i> = 4, 8) are realized. High-purity multiplexing architectures (>90%) are achieved via rational optimization of critical structural parameters using a genetic optimization algorithm, which further mitigates information crosstalk in optical communication transmission. The introduction of the genetic algorithm not only reduces the workload of manual arrangement of unit arrays but also enables the generation of more perfect VBs, providing a new research direction for optical communication transmission and optical communication encryption.

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Publication Details

Journal
Nanomaterials
Published
2025-09-19
DOI
https://doi.org/10.3390/nano15181448
Citations
1
Primary Topic
Orbital Angular Momentum in Optics
Type
article
Field-Weighted Citation Impact
1.25

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article

Research on the Generation of High-Purity Vortex Beams Aided by Genetic Algorithms

Qing’an Sun, Lixia Yang, Xinyu Ma, Wenjie Guo et al.
1 citations
Nanomaterials
Orbital Angular Momentum in Optics
1.25
article

Research on the Generation of High-Purity Vortex Beams Aided by Genetic Algorithms

Qing’an Sun, Lixia Yang, Xinyu Ma, Wenjie Guo, Xuesong Deng, Hang Yu
article en
1 citations

Abstract

Vortex beams (VBs) generated by plasmonic metasurfaces hold great potential in the field of information transmission due to their unique helical phase wavefronts and infinite eigenstates. However, achieving perfect multiplexing and superposition of VBs with different orders remains a challenging issue in nanophotonics research. In this paper, based on a single-layer metallic porous metasurface structure applicable to the infrared spectrum, VBs with orders 2, 4, 6, and 8 are realized through the arrangement of annular elliptical apertures. Moreover, perfect VBs are achieved by optimizing key structural parameters using a genetic algorithm. The optimization of key structural parameters via genetic-based optimization algorithms to attain the desired effects can significantly reduce the workload of manual parameter adjustment. In addition, leveraging the orthogonality between VBs of different orders, concentric circular multi-channel VBs array (<i>l</i> = 2, 6) and (<i>l</i> = 4, 8) are realized. High-purity multiplexing architectures (>90%) are achieved via rational optimization of critical structural parameters using a genetic optimization algorithm, which further mitigates information crosstalk in optical communication transmission. The introduction of the genetic algorithm not only reduces the workload of manual arrangement of unit arrays but also enables the generation of more perfect VBs, providing a new research direction for optical communication transmission and optical communication encryption.

NanomaterialsVol. 15(18)
Anhui University (CN)
National Natural Science Foundation of China, University Natural Science Research Project of Anhui Province
Openalex Percentile: Top 17%
Orbital Angular Momentum in Optics
1.25
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Research on the Generation of High-Purity Vortex Beams Aided by Genetic Algorithms — Qing’an Sun, Lixia Yang, et al. · Nanomaterials (2025) | TGRS Research Map | TGRS