光学
折射率
栅栏
灵敏度(控制系统)
材料科学
图层(电子)
索引(排版)
光电子学
物理
计算机科学
电子工程
工程类
万维网
复合材料
作者
Xiuhong Liu,Chaoying Shi,Jinhua Hu,Sheng Wang,Haiyan Han,Jijun Zhao
标识
DOI:10.1016/j.optcom.2022.128171
摘要
A refractive index (RI) sensor with a high sensitivity based on an integrated double-layer resonant meta-grating (DRMG) is theoretically demonstrated. The presented DRMG consists of two top/ bottom grating layers with meta-grooves, and a slab waveguide layer. The physical mechanism of the device is elucidated by combining a theoretical model with the eigenmode information of the grating structures. The reflection spectra of DRMG-based sensor are then investigated by the theoretical model, which is simultaneously verified by rigorous coupled-wave analysis (RCWA). It is found that the sensitivity is improved by controlling the key structural parameters of the DRMG for enhancing the interaction between its leaky mode and analyte. Meanwhile, the optical field is trapped around the region of DRMG. Consequently, the sensitivity of the RI sensor is further increased without decreasing its quality factor ( Q -factor). The simulation results show that the sensitivity of the sensor is achieved up to 930 nm/RIU with its Q -factor as high as 11575. Such an all-dielectric meta-grating sensor is expected to hold great promise for realizing high-performance sensor. • In this work, a highly sensitive refractive index (RI) sensor based on an integrated double-layer resonant meta-grating (DRMG) is theoretically demonstrated. • The sensitivity of the device is improved by the introduction of groove structures, which complicates the fabrication of the device, but the sensing performance of devices with simple structures is often not very good. • The reflection spectrum of the DRMG-based sensor is then investigated by combining eigenvalues with a theoretical model and simultaneously verified by rigorous coupled-wave analysis (RCWA). • The sensing performance of the proposed DRMG-based integrated sensor can be controlled by flexible selection of two key structural parameters, such as d , h .
科研通智能强力驱动
Strongly Powered by AbleSci AI