Unleashing the potential: AI empowered advanced metasurface research
Fu Yunlai,
Zhou Xuxi,
Yu Yiwan,
Chen Jiawang,
Wang Shuming,
Zhu Shining,
Wang Zhenlin
Affiliations
Fu Yunlai
National Laboratory of Solid State Microstructures, School of Physics, School of Electronic Science and Engineering, Nanjing University, Nanjing210093, China
Zhou Xuxi
National Laboratory of Solid State Microstructures, School of Physics, School of Electronic Science and Engineering, Nanjing University, Nanjing210093, China
Yu Yiwan
National Laboratory of Solid State Microstructures, School of Physics, School of Electronic Science and Engineering, Nanjing University, Nanjing210093, China
Chen Jiawang
National Laboratory of Solid State Microstructures, School of Physics, School of Electronic Science and Engineering, Nanjing University, Nanjing210093, China
Wang Shuming
National Laboratory of Solid State Microstructures, School of Physics, Nanjing University, Nanjing210093, China
Zhu Shining
National Laboratory of Solid State Microstructures, School of Physics, Nanjing University, Nanjing210093, China
Wang Zhenlin
National Laboratory of Solid State Microstructures, School of Physics, Nanjing University, Nanjing210093, China
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.
