电波科学学报2026，Vol.41Issue(1)：124-135,12.DOI:10.12265/j.cjors.2025155
基于KAN-CNN相位预测模型的反射聚焦超表面设计
Design of reflective focusing metasurface based on KAN-CNN phase prediction model
摘要
Abstract
Metasurface has demonstrated significant value across various fields due to its exceptional ability to manipulate electromagnetic waves.However,the highly complex nonlinear mapping relationship between their geometric configurations and electromagnetic responses has led traditional metasurface design methods to rely on massive electromagnetic simulations,severely constraining design efficiency.To achieve a breakthrough in this bottleneck,this study generated a uniform dataset of 20 000 sets of geometric data-reflection phase pairs across an ultra-wideband frequency range of 2–18 GHz.A high-performance forward-phase prediction neural network constructed using the Kolmogorov−Arnold convolutional neural network(KAN-CNN)module,attention mechanisms,and residual connections,combined with a simulated annealing algorithm to rapidly generate metasurface structural parameters from a target phase.Experimental results show that this metasurface inverse design system achieves a high-accuracy broadband reflection phase prediction accuracy of 92.7%,with an overall model R2 of up to 0.893 7.Compared with traditional full-wave simulation iterative optimization,this system significantly improves design efficiency and enables the rapid generation of high-performance metasurfaces.Using this system,a focusing metasurface array operating at 8 GHz with a focal length of 100 mm was successfully designed and fabricated.The measured results closely match the design targets,validating the feasibility and reliability of the entire process from design to fabrication.关键词
反射型/聚焦型/超表面/科尔莫戈罗夫-阿诺德卷积神经网络(KAN-CNN)/逆向设计Key words
reflective type/focusing type/metasurface/Kolmogorov−Arnold convolutional neural network(KAN-CNN)/inverse design分类
信息技术与安全科学引用本文复制引用
秦全士,浦实,曾爽,夏浩达,官建国..基于KAN-CNN相位预测模型的反射聚焦超表面设计[J].电波科学学报,2026,41(1):124-135,12.基金项目
国家自然科学基金(62104174) （62104174）
中央高校基本科研业务费专项资金(104972025KFYjc0103,104972025BKS0041)National Natural Science Foundation of China(62104174) （104972025KFYjc0103,104972025BKS0041）
the Fundamental Research Funds for the Central Universities(104972025KFYjc0103,104972025BKS0041) （104972025KFYjc0103,104972025BKS0041）
