Affiliation:
1. Chinese Academy of Sciences
Abstract
Traditional long-wave infrared polarimetry usually relies on complex optical setups, making it challenging to meet the increasing demand for system miniaturization. To address this problem, we design an all-silicon broadband achromatic polarization-multiplexing metalens (BAPM) operating at the wavelength range of 9–12 µm. A machine-learning-based design method is developed to replace the tedious and computationally intensive simulation of a large number of meta-atoms. The results indicate that the coefficients of variation in focal length of the BAPM are 3.95% and 3.71%, and the average focusing efficiencies are 41.3% and 40.5% under broadband light incidence with x- and y-polarizations, respectively.
Funder
National Key Laboratory of Infrared Detection Technologies
Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology
Shanghai Key Laboratory of Chips and Systems for Intelligent Connected Vehicle
National Natural Science Foundation of China