多极展开
消色差透镜
光学
反问题
分束器
计算机科学
反向
物理
解算器
自由度(物理和化学)
数学
量子力学
数学分析
激光器
几何学
程序设计语言
作者
Dasen Zhang,Zhenzhen Liu,Xiaotong Yang,Jun‐Jun Xiao
出处
期刊:ACS Photonics
[American Chemical Society]
日期:2022-11-30
卷期号:9 (12): 3899-3905
被引量:6
标识
DOI:10.1021/acsphotonics.2c01187
摘要
The functional and optimal design of optical metasurfaces poses great challenges, particularly in situations requiring multifunctionalities. The conventional forward design relies on a priori knowledge, which limits the development of metasurfaces with customized functions. Inverse design has achieved major breakthroughs in developing new optical functionalities but has been hindered by inevitably invoking a full-wave electromagnetic solver, subjected to low efficiency, slow convergence, and being hard to implement. Here, we propose a general and computationally efficient inverse-design framework based on multipole decomposition and adjoint optimization. By this method, we demonstrate an achromatic metalens working across the visible and near-infrared band with a bandwidth over 400 nm. We also show the design of the metasurface for multiplexed focusing at the RGB wavelength, and the metasurface for stimulated emission depletion (STED) microscopy, which generates a tightly focusing point at the excitation beam wavelength and doughnut-shaped focus for the STED beam wavelength. Our scheme could be further improved to include more geometrical degrees of freedom and show great applications in free-space diffractive optics and deep diffractive neural network.
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