发表机构
State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences; University of Chinese Academy of Sciences; School of Physical Science and Technology, ShanghaiTech University（中国科学院上海技术物理研究所红外物理国家重点实验室; 中国科学院大学; 上海科技大学物理科学与技术学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究在介质傅里叶空间中，通过共享倒格矢网格结合K空间主干与局部复K空间专家，实现跨超表面家族的qBIC共振学习，提升了共振参数预测精度并支持光谱-结构重建。
AI 中文摘要
连续谱中的束缚态（BIC）超表面通常由特定几何参数描述，阻碍了跨几何比较，而超窄qBIC特征在全光谱学习中易被稀释。本文将来自7个介质超表面家族的2015个样本映射到共享倒格矢网格，其中两个冻结的低阶傅里叶通道捕获共振偏移，分支内平均R²值为0.871-0.999。对两个代表性分支的场分析进一步证实，这些偏移符合麦克斯韦-傅里叶微扰图像。五通道K空间主干模型宽带光谱，局部复K空间专家通过可微Fano层参数化qBIC共振。在几何分块测试集上，该专家将共振位置平均绝对误差（MAE）从3.2 nm降至0.95 nm，共振深度误差降低14倍，相同坐标还支持光谱到结构的重建。
英文摘要
Bound states in the continuum (BIC) metasurfaces are typically described by geometry-specific parameters, hindering cross-geometry comparison, while ultranarrow qBIC features are easily diluted in full-spectrum learning. Here, 2015 samples from seven dielectric metasurface families are mapped to a shared reciprocal-lattice grid, where two frozen low-order Fourier channels capture resonance shifts with mean within-branch $R^2$ values of 0.871-0.999. Field-level analysis of two representative branches further confirms that these shifts are consistent with the Maxwell-Fourier perturbation picture. A five-channel K-space backbone models the broadband spectrum, while a local complex K-space expert parameterizes the qBIC resonance through a differentiable Fano layer. The expert reduces resonance-position mean absolute error (MAE) from 3.2 to 0.95 nm and the resonance-depth error by 14-fold on a geometry-blocked test set. The same coordinate supports spectrum-to-structure reconstruction.
Comments45 pages,5 main figures and 1 main table; includes Supplementary Information with 11 supplementary figures and 3 supplementary tables
