Design strategies for large-area metasurfaces (IMAGE)
Caption
These include unit-cell methods based on local periodic responses, coupling-aware modeling, adaptive spatial sampling, and multifunctional meta-atoms; supercell methods for intracell coupling and diffraction-order control; and full-metasurface methods using adjoint optimization, GPU acceleration, and numerical precision scaling. Neural-network-based methods support structure–response learning, data-efficient modeling, fabrication-aware design, and interpretable and accessible design tools across these approaches rather than defining a separate spatial scale.
Credit
Research teams of Prof. Haejun Chung at Hanyang University, and Prof. Sunae So at Korea University Sejong Campus Image source link: https://doi.org/10.29026/oes.2026.260058
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CC BY