激光与光电子学进展, 2019, 56 (22): 220501, 网络出版: 2019-11-02   

基于遗传算法的双层亚波长金属光栅优化 下载: 1012次

Optimization of Bilayer Sub-Wavelength Metallic Grating Based on Genetic Algorithm
作者单位
大连理工大学机械工程学院, 辽宁 大连 116023
摘要
为改善光栅性能,基于遗传算法,并结合时域有限差分法,在可见光波段优化设计了一种双层亚波长金属光栅结构。经仿真分析,该结构能够实现蓝色波段的偏振滤波功能,透射率最大值能达到77%,消光比最大值达到20 dB,半峰全宽为35 nm。通过分析光栅参数对光栅性能的影响,证明该结构具有较大的工艺容差。相比以往的结构,优化后的光栅具有更好的透射性能和滤波性能,在偏振导航、偏振探测、显示器、成像传感器等领域具有良好的应用前景。
Abstract
Herein, a bilayer sub-wavelength metallic grating structure is optimized in the visible-light band using genetic algorithm and finite-difference time-domain method to improve the grating performance. Through simulation analysis, the structure can achieve polarization filtering function of blue band with a maximum transmittance of 77%, maximum extinction ratio of 20 dB, and full width at half maximum of 35 nm. By analyzing the influences of grating parameters on grating performance, it is proven that the structure has a large process tolerance. In comparison with the conventional structure, the optimized grating has good transmission performance and filtering performance, and it has good application prospects in fields such as polarization navigation, polarization detection, display, and imaging sensing.

安超, 褚金奎, 张然. 基于遗传算法的双层亚波长金属光栅优化[J]. 激光与光电子学进展, 2019, 56(22): 220501. Chao An, Jinkui Chu, Ran Zhang. Optimization of Bilayer Sub-Wavelength Metallic Grating Based on Genetic Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(22): 220501.

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