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  • Asia Communications and Photonics Conference (ACPC) 2019
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper M4A.296

Inverse Design of Photonic Crystal Nanobeam Cavity Structure via Deep Neural Network

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We propose a deep learning framework to solve the inverse design problem of one-dimensional photonic crystal nanobeam cavity structure. After training, we obtained an effective solution to the inverse design. © 2019 The Author(s)

© 2019 The Author(s)

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