Design of Metasurface with Near Couplings Based on Deep Learning Driven Space Mapping

2021 International Applied Computational Electromagnetics Society (ACES-China) Symposium(2021)

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摘要
Near couplings will lead to low efficiency electromagnetic waves manipulation of the metasurface. In this paper, a space mapping design framework driven by deep learning is proposed for the optimization of metasurafce with near couplings meta-atoms. The deep learning neural network is training to predict the phase of the atom accurately, in which process the near couplings of the designed meta-ato...
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关键词
Deep learning,Couplings,Training,Computational modeling,Neural networks,Electromagnetic scattering,Metasurfaces
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