超表面光学传感器设计与应用研究  

Research on Design and Application of Metasurface Optical Sensor

作　　者：吴鸯[1,2] 诸仲夏 吴雪尘 Wu Yang;Zhu Zhongxia;Wu Xuechen(Shanghai Institute of Laser Technology Co.,Ltd.,Shanghai 200233,China;Shanghai Engineering Research Center of Laser Medical Equipment,Shanghai 200233,China)

机构地区：[1]上海市激光技术研究所有限公司,上海200233 [2]上海激光医学设备工程技术研究中心,上海200233

出　　处：《应用激光》2024年第11期149-157,共9页Applied Laser

摘　　要：光学传感器在科研和社会生产生活中有广泛应用。传统光学传感器存在体积大、难集成等方面的不足,制约光学传感器向集成化和便携化的发展。尺寸小、易集成的微纳光学传感器可以有效解决传统光学传感器面临的问题,其中超表面光学传感器具有设计自由度高、检测灵敏、性能可靠、获取信息多样等优势,是实现传感器集成化和小型化的可行路径。超表面是一种有力的光场调控工具,通过对超表面单元结构的定向设计可实现超表面光学传感器的功能定制。在超表面结构的设计和优化过程中,人工智能算法和深度学习的应用能够显著提高超表面光学传感器设计的效率和准确度,降低设计所耗费的时间。得益于超表面光学传感器在设计、功能、便捷性上的优点,其在生物和医疗检测、光开关、光计算等领域有重要的应用价值和潜力。Optical sensors are extensively utilized in scientific research and various social production and living activities.Traditional optical sensors are limited by their large size and integration challenges,hindering advancements towards miniaturization and portability.Micro/nano optical sensors with small size and easy integration could effectively solve the problems faced by traditional optical sensors,the metasurface optical sensors with the advantages of high design freedom,sensitivity,reliability,and multi-information acquisition will be a feasible path to realize integration and miniaturization optical sensors.Metasurface is a powerful light-field manipulation tool,it's convenient to achieve the function customization of sensors by directional design of metasurface unit structure.The incorporation of artificial intelligence algorithms and deep learning in the design and optimization of metasurface structures significantly enhances efficiency and accuracy,reducing time costs.Metasurface optical sensors,leveraging their design,functionality,and convenience,hold significant application value and potential in areas such as biological and medical detection,optical switching,and optical computing.

关 键 词：超表面 光学传感器 算法和深度学习 检测 光计算 

分 类 号：TN249[电子电信—物理电子学]