Abstract:Metasurfaces have shown flexibility in realizing various functionalities via shaping the geometry on the subwavelength scale. However, with increased design complexity, the flexibility makes the traditional paradigm based on expert knowledge less effective. Due to the ability to learn knowledge from raw data, deep-learning techniques have made remarkable progress in the automatic design of highperformance nanophotonic devices. However, deep-learning-based methods require a large amount of training data, which … Show more
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