Learning qBIC Resonances across Metasurface Families in Dielectric Fourier Space

Abstract: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.

Optics (physics.optics); Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

arXiv:2610.11500 [physics.optics]

(or arXiv:2610.11500v1 [physics.optics] for this version)

https://doi.org/10.48550/arXiv.2610.11500 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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