Nanostructured Photonic Power Splitter Design via Convolutional Neural Networks

We train a convolutional neural network (CNN)that can predict the optical response of randomly generated nanopatterned photonic power splitters in a 2400 design space with a prediction correlation coefficient of 85 %. © 2019 The Author(s)

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