Meta-Atom Model for Metasurfaces By pixelating the unit cell of metasurfaces, the machine-learning-based meta-atom model was developed. The model can cover the entire pixel space and simulate any potential meta-atoms operating at any polarization. In article number 2302255, Rui-Xin Wu and co-workers applied the model to design different types of functional meta-devices, including the reflective and the transmissive ones implemented by one or multiple metasurfaces, and a metasurface with one or more meta-atoms. The designs were verified through simulations and experiments. The model significantly improves the design efficiency of the meta-devices.
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Chen et al. (2024) studied this question.
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