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Deep Convolutional Neural Network for the Inverse Design of Layered Photonic Structures

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We report a neural network trained for the inverse design of layered planar photonic structures, able to handle arbitrary incidence conditions and high spectral complexity using a selection of candidate materials in the design.

© 2020 The Author(s)

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