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Deep Learning for Design and Retrieval of Plasmonic Nanostructures

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Abstract

I We experimentally demonstrate a novel Deep Learning method capable of retrieving subwavelength dimensions from solely far-field measurements. Moreover, it also directly addresses the inverse problem i.e. obtaining a geometry for a desired electromagnetic response.

© 2019 The Author(s)

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