Research on Optical Chiral Filters based on Multilayer Two-Dimensional Materials

Abstract

This paper proposes a high-performance optical chiral filter design scheme based on multilayer two-dimensional materials. The core innovation is the construction of an adaptive weighted multi-objective particle swarm optimization (AW-MOPSO) algorithm. This algorithm introduces a chiral performance-oriented dynamic weight adjustment mechanism to achieve precise optimization of key structural parameters such as the number of stacked layers and the twist angle, effectively balancing the multi-objective requirements of chiral separation, extinction ratio, and response bandwidth. A simulation model is constructed based on the FDTD method, and multilayer MoS₂/graphene composite structure samples are prepared using a mechanical peel-transfer stacking process for experimental testing. Simulation results show that the designed filter has a stable response in the 520-680 nm visible light band, with a chiral separation of 28.6 dB, an extinction ratio of 32 dB, and an insertion loss of only 0.8 dB. Compared with the traditional PSO algorithm, AW-MOPSO improves the optimization efficiency by 40%, and the separation and bandwidth are improved by 12.3% and 18.5%, respectively. Experimental tests yielded a resolution of 27.8 dB and an extinction ratio of 30.5 dB, with an error of less than 3% compared to simulation results, verifying the design reliability and algorithm superiority. The proposed AW-MOPSO algorithm provides a new method for the efficient design of two-dimensional material optical devices, and the fabricated filter shows significant application prospects in computer vision, quantum communication chips, and other fields.