A Design Method of Two-Dimensional Subwavelength Grating Filter Based on Deep Learning Series Feedback Neural Network.
A Design Method of Two-Dimensional Subwavelength Grating Filter Based on Deep Learning Series Feedback Neural Network.
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DOI：
10.3390/s22207758
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发表时间：
2022-10-13
期刊：
影响因子：
--
通讯作者：
Liang HF
中科院分区：
文献类型：
--
作者：
Guo JH;Zhang YL;Zhang SS;Cai CL;Liang HF
亚波长光栅结构具有优良的滤波特性，其传统的设计方法需要大量的计算成本。提出了一种基于串联反馈神经网络的二维亚波长光栅滤光片的设计方法，可以实现正向模拟和反向设计。用Python语言编程研究了二维亚波长光栅在0.4~0.7µm范围内的滤波特性，考虑了二维亚波长光栅的形状、高度、周期、占空比和波导层高度等因素。该数据集包含46,080组数据，通过严格耦合波分析(RCWA)的数值模拟生成。最优网络为5层，128×512×512×128×61个节点，批次。串联反馈神经网络的损失函数最低可达0.024。同时，解决了由于数据的不唯一性而导致的网络逆向设计不收敛的问题。串联反馈神经网络可以在1.12 S范围内给出二维亚波长光栅的几何结构参数，设计结果与理论光谱之间的相关性大于0.65，属于强相关性。本研究为二维亚波长光栅的设计提供了一种新的方法，与传统方法相比，设计速度更快、精度更高。
Subwavelength grating structure has excellent filtering characteristics, and its traditional design method needs a lot of computational costs. This work proposed a design method of two-dimensional subwavelength grating filter based on a series feedback neural network, which can realize forward simulation and backward design. It was programed in Python to study the filtering characteristics of two-dimensional subwavelength grating in the range of 0.4–0.7 µm. The shape, height, period, duty cycle, and waveguide layer height of two-dimensional subwavelength grating were taken into consideration. The dataset, containing 46,080 groups of data, was generated through numerical simulation of rigorous coupled-wave analysis (RCWA). The optimal network was five layers, 128 × 512 × 512 × 128 × 61 nodes, and 64 batch size. The loss function of the series feedback neural network is as low as 0.024. Meanwhile, it solves the problem of non-convergence of the network reverse design due to the non-uniqueness of data. The series feedback neural network can give the geometrical structure parameters of two-dimensional subwavelength grating within 1.12 s, and the correlation between the design results and the theoretical spectrum is greater than 0.65, which belongs to a strong correlation. This study provides a new method for the design of two-dimensional subwavelength grating, which is quicker and more accurate compared with the traditional method.
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影响因子：
1.3
作者：
LI, L
通讯作者：
LI, L
影响因子：
4.6
作者：
Soni, Varun;Chang, Ching-Wen;Chen, Ray T.
通讯作者：
Chen, Ray T.
DOI：
10.1364/josaa.10.002581
发表时间：
1993-12-01
影响因子：
1.9
作者：
LI, LF
通讯作者：
LI, LF
影响因子：
3.8
作者：
Huang, Lijun;Yan, Hai;Chen, Ray T.
通讯作者：
Chen, Ray T.
基于介质光栅的大范围波长可调谐导模谐振滤波器
影响因子：
2.4
作者：
Li, Caiyu;Zhang, Kun;Kong, Weijin
通讯作者：
Kong, Weijin