Yan Haotian, Hao Ran, Meng Yanlong, Jin Shangzhong
Appl Opt. 2024 Jan 20;63(3):823-830. doi: 10.1364/AO.509939.
Silicon nanostructure colors have rapidly developed in recent years, offering high resolution and a broad color gamut that traditional pigments cannot achieve. The reflected colors of metasurfaces are determined by the geometric structure of the unit cell and the refractive index matching layer parameters. It is evident that the design of specific colors involves numerous parameters, making it challenging to achieve through conventional calculations. Therefore, the tandem network instead of conventional electromagnetic simulation is natural. The forward part of the network incorporates feature cross terms to improve accuracy, enabling high-precision predictions of structural colors based on structural parameters. The average color difference between the predicted and actual color values in the ,, color space is 1.38. The network has been proven to accurately predict the refractive index and height of the refractive index matching layer during the dynamic tuning process. Additionally, the issue of the inverse network converging to incorrect solutions was addressed by leveraging the characteristics of the activation function. The results show that the color difference between the colors designed by the inverse network compared to the actual colors in the ,, color spaces is only 2.22, which meets the requirements for commercial applications.
近年来，硅纳米结构颜色发展迅速，具有高分辨率和传统颜料无法实现的广泛色域。超表面的反射颜色由晶胞的几何结构和折射率匹配层参数决定。显然，特定颜色的设计涉及众多参数，通过传统计算实现具有挑战性。因此，采用串联网络而非传统电磁模拟是很自然的。网络的前向部分包含特征交叉项以提高精度，能够基于结构参数对结构颜色进行高精度预测。在“，”颜色空间中预测颜色值与实际颜色值之间的平均色差为1.38。该网络已被证明在动态调谐过程中能够准确预测折射率匹配层的折射率和高度。此外，通过利用激活函数的特性解决了逆网络收敛到错误解的问题。结果表明，逆网络设计的颜色与“，”颜色空间中实际颜色之间的色差仅为2.22，满足商业应用要求。
