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)