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

IF 4.3 3区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Nanomaterials Pub Date : 2025-09-19 DOI:10.3390/nano15181448
Xinyu Ma, Wenjie Guo, Qing'an Sun, Xuesong Deng, Hang Yu, Lixia Yang
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引用次数: 0

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 (l = 2, 6) and (l = 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.

基于遗传算法的高纯度涡旋光束生成研究。
等离子体超表面产生的涡旋光束由于其独特的螺旋相位波前和无限本征态,在信息传输领域具有巨大的潜力。然而,如何实现不同阶数的VBs的完美复用和叠加仍然是纳米光子学研究中一个具有挑战性的问题。本文以适用于红外光谱的单层金属多孔超表面结构为基础,通过布置环形椭圆孔实现了2、4、6、8阶的VBs。通过遗传算法优化关键结构参数,实现了完美的VBs。通过遗传优化算法对关键结构参数进行优化,达到预期效果,可以显著减少人工参数调整的工作量。此外,利用不同阶数VBs之间的正交性,实现了(l = 2,6)和(l = 4,8)的同心圆多通道VBs阵列。利用遗传优化算法对关键结构参数进行合理优化,实现了高纯度复用架构(>90%),进一步减轻了光通信传输中的信息串扰。遗传算法的引入,不仅减少了手工排列单元阵列的工作量,而且可以生成更完善的VBs,为光通信传输和光通信加密提供了新的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nanomaterials
Nanomaterials NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
8.50
自引率
9.40%
发文量
3841
审稿时长
14.22 days
期刊介绍: Nanomaterials (ISSN 2076-4991) is an international and interdisciplinary scholarly open access journal. It publishes reviews, regular research papers, communications, and short notes that are relevant to any field of study that involves nanomaterials, with respect to their science and application. Thus, theoretical and experimental articles will be accepted, along with articles that deal with the synthesis and use of nanomaterials. Articles that synthesize information from multiple fields, and which place discoveries within a broader context, will be preferred. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental or methodical details, or both, must be provided for research articles. Computed data or files regarding the full details of the experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Nanomaterials is dedicated to a high scientific standard. All manuscripts undergo a rigorous reviewing process and decisions are based on the recommendations of independent reviewers.
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