[
    {
        "id": "osp-16430",
        "type": "article-journal",
        "title": "Learning qBIC Resonances across Metasurface Families in Dielectric Fourier Space",
        "author": [
            {
                "family": "Lei",
                "given": "Shuangteng"
            },
            {
                "family": "Yu",
                "given": "Li"
            },
            {
                "family": "Li",
                "given": "Tianxin"
            },
            {
                "family": "Lu",
                "given": "Wei"
            }
        ],
        "URL": "https://omanscience.com/en/articles/learning-qbic-resonances-across-metasurface-families-in-dielectric-fourier-space",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2026
                ]
            ]
        },
        "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."
    }
]