Fu Yunlai, Zhou Xuxi, Yu Yiwan, Chen Jiawang, Wang Shuming, Zhu Shining, Wang Zhenlin
National Laboratory of Solid State Microstructures, School of Physics, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
National Laboratory of Solid State Microstructures, School of Physics, Nanjing University, Nanjing 210093, China.
Nanophotonics. 2024 Feb 27;13(8):1239-1278. doi: 10.1515/nanoph-2023-0759. eCollection 2024 Apr.
In recent years, metasurface, as a representative of micro- and nano-optics, have demonstrated a powerful ability to manipulate light, which can modulate a variety of physical parameters, such as wavelength, phase, and amplitude, to achieve various functions and substantially improve the performance of conventional optical components and systems. Artificial Intelligence (AI) is an emerging strong and effective computational tool that has been rapidly integrated into the study of physical sciences over the decades and has played an important role in the study of metasurface. This review starts with a brief introduction to the basics and then describes cases where AI and metasurface research have converged: from AI-assisted design of metasurface elements up to advanced optical systems based on metasurface. We demonstrate the advanced computational power of AI, as well as its ability to extract and analyze a wide range of optical information, and analyze the limitations of the available research resources. Finally conclude by presenting the challenges posed by the convergence of disciplines.
近年来,超表面作为微纳光学的代表,已展现出强大的光操控能力,它可以调制诸如波长、相位和振幅等各种物理参数,以实现各种功能,并大幅提升传统光学元件和系统的性能。人工智能(AI)是一种新兴的强大且有效的计算工具,在过去几十年中已迅速融入物理科学研究,并在超表面研究中发挥了重要作用。本综述首先简要介绍基础知识,然后描述人工智能与超表面研究相结合的案例:从超表面元件的人工智能辅助设计到基于超表面的先进光学系统。我们展示了人工智能的先进计算能力,以及其提取和分析广泛光学信息的能力,并分析了现有研究资源的局限性。最后通过阐述学科交叉带来的挑战进行总结。