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Conferences > ACPC > 2020 > Su1A > Su1A.1
  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper Su1A.1
  • •https://doi.org/10.1364/ACPC.2020.Su1A.1

Inverse Design of Nanophotonic Devices using Deep Neural Networks

Keisuke Kojima, Yingheng Tang, Toshiaki Koike-Akino, Ye Wang, Devesh Jha, Kieran Parsons, Mohammad H. Tahersima, Fengqiao Sang, Jonathan Klamkin, and Minghao Qi

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Abstract

We present three different approaches to apply deep learning to inverse design for nanophotonic devices. The forward and inverse regression models use device parameters as inputs and device responses as outputs, and vice versa. The generative model to create a series of improved designs. We demonstrate them to design nanophotonic power splitters with multiple splitting ratios.

© 2020 The Author(s)

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