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An Efficient Deep Learning-Based Electromagnetic Response Prediction Model for Coding Grid Meta-atoms

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Abstract

We proposed an efficient deep learning-based ElectroMagnetic (EM) response prediction model for coding grid meta-atoms. Prediction errors are less than 3° and 1.5% in phase and reflectivity.

© 2023 The Author(s)

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