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Deep Learning Approach for the Enhanced Light-Matter Interactions in Dielectric Nanostructures

  • Lei Xu
  • , Mohsen Rahmani
  • , Yixuan Ma
  • , Daria A. Smirnova
  • , Khosro Zangeneh Kamali
  • , Fu Deng
  • , Yan Kei Chiang
  • , Lujun Huang
  • , Haoyang Zhang
  • , Stephen Gould
  • , Dragomir N. Neshev
  • , Andrey E. Miroshnichenko*
  • *Corresponding author for this work
  • University of New South Wales
  • Australian National University
  • Queensland University of Technology

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we utilize a deep-learning approach for obtaining high-quality factor (high-Q) resonances with desired characteristics, such as linewidth, amplitude and spectral position. We exploit such high-Q resonances for the enhanced light-matter interaction in nonlinear optical metasurfaces and optomechanical vibrations, simultaneously.

Original languageEnglish
Pages (from-to)381-382
Number of pages2
JournalInternational Conference on Metamaterials, Photonic Crystals and Plasmonics
StatePublished - 2021
Externally publishedYes
Event11th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2021 - Warsaw, Poland
Duration: 20 Jul 202123 Jul 2021

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