《【文献】Nature Communications | Disordered-guiding photonic chip enabled high-dimensional light field detection》

  • 来源专题:光电信息技术
  • 编译者: 王靖娴
  • 发布时间:2025-08-31
  • 【内容概述】8月20日,武汉光电国家研究中心张新亮教授、余宇教授研究团队提出基于无序引导型光子芯片与神经网络的高维光场探测系统,可同时实现光的强度、宽谱以及混合全斯托克斯偏振态的综合检测。

         研究团队展示了一种创新的无序引导芯片,通过对无序分布进行精心设计,引入复杂的干涉和散射效应,将光谱与偏振信息编码为不同的多通道光强分布,基于逆向设计的引导区将输出高效收集至片上锗硅光电探测器阵列,神经网络再对多路光电流解码恢复光场信息。 图1.高维探测与成像系统工作原理示意图 实验结果表明,该芯片能够在1540-1560nm波长范围内,同时检测混合偏振状态和宽带光谱,偏振测量误差仅为1.2°,光谱分辨率高达400pm。

        此外,研究团队还展示了该芯片在高维成像中的应用,其识别性能显著优于传统单维检测方法。例如,在“苹果”图案的成像实验中,芯片成功区分了不同波长和偏振组合的目标,实现了100%的分辨准确率,而传统单维成像系统则无法分辨。该研究不仅为光学检测提供了一种高分辨率、高集成度的解决方案,并且在生物医学诊断、材料分析和光通信等领域展现出广阔的应用前景。

    (原文见附件)

  • 原文来源:http://mp.weixin.qq.com/s?__biz=MjM5MjIxNzI4Mg==&mid=2654050950&idx=1&sn=94a2cd2fc3506b6ab3b02cb7d6d2751f
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DOI 10.1088/1361-6528/ad61ec Download Accepted Manuscript PDF Figures Skip to each figure in the article Tables Skip to each table in the article References Citations Article data Skip to each data item in the article What is article data? Open science Article metrics Submit Submit to this Journal Permissions Get permission to re-use this article Share this article Article and author information Author e-mailsarunaprp@srmist.edu.in Author affiliations1 SRM Institute of Science and Technology (Deemed to be University) College of Engineering & Technology, Department of Electronics and Communication Engineering, Kattankulathur, Tamil Nadu, 603203, INDIA 2 SRM Institute of Science and Technology College of Engineering, Kattankulathur, 603203, INDIA 3 Electronics and Communication Engineering, SRM Institute of Science and Technology (Deemed to be University) College of Engineering & Technology, Kattankulathur, Kancheepuram district, arunaprp@srmist.edu.in, Kattankulathur, Tamil Nadu, 603203, INDIA ORCID iDsARUNA Priya PRIYA. P https://orcid.org/0000-0002-5612-3312 Dates Received 18 March 2024 Revised 7 June 2024 Accepted 11 July 2024 Accepted Manuscript online 11 July 2024 Journal RSS Sign up for new issue notifications 10.1088/1361-6528/ad61ec Abstract In this study, we present a nanosized biosensor based on the photobiological properties of one-dimensional (1D) topological photonic crystals (PCs). A topological structure had been designed by combining two photonic crystal structures (PC 1 and PC 2) comprised of functional material layers, Si and SiO2. These two, PC 1 and PC 2, differ in terms of the thickness and arrangement of these dielectric materials. We carried out a comparison between two distinct topological photonic crystals: one using random photonic crystals, and the other featuring a mirror heterostructure. Tuberculosis may be diagnosed by inserting a sensor layer into 1D topological photonic crystals. The sensing process is based on the refractive indexes of the analytes in the sensor layer. When the 1D-topological heterostructure-based PC and its mirror-image structures are stacked together, the sensor becomes more efficient for analyte detection than the conventional PCs. The random-based topological photonic crystal outperformed the heterostructure-based topological photonic crystal in analyte sensing. Photonic media witness notable blue shifts due to the analytes' variations in refractive index. The numerical results of the sensor are computed using the transfer matrix approach. Effective results are achieved by optimizing the thicknesses of the sensor layer and dielectric layers; number of periods and incident angle. In normal incident light, the developed sensor shows a high sensitivity of 1500 nm/RIU with a very low limit of detection in the order of 2.24E-06 RIU and a high-quality factor of 30659.54. 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  • 《【文献】Nature | A full-featured 2D flash chip enabled by system integration》

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