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Deep Neural Network Inverse Modeling for Integrated Photonics

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We propose a deep neural network model that instantaneously predicts the optical response of nanopatterned silicon photonic power splitter topologies, and inversely approximates compact (2.6×2.6 µm2) and efficient (above 92%) power splitters for target splitting ratios.

© 2019 The Author(s)

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