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Inverse design for integrated photonics using deep neural network

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Abstract

Focusing on nanophotonic power splitters, we show that a generative neural network can design a series of devices that achieve nearly arbitrary target performance, with an excellent capability to generalize training data produced by the adjoint method.

© 2021 The Author(s)

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