Advanced Photonics, Volume. 2, Issue 2, 026003(2020)

Enhanced light–matter interactions in dielectric nanostructures via machine-learning approach Article Video

Lei Xu1,2, Mohsen Rahmani2,3,4、*, Yixuan Ma1, Daria A. Smirnova3, Khosro Zangeneh Kamali3,4, Fu Deng1, Yan Kei Chiang1, Lujun Huang1, Haoyang Zhang5, Stephen Gould6, Dragomir N. Neshev3,4, and Andrey E. Miroshnichenko1、*
Author Affiliations
  • 1University of New South Wales, School of Engineering and Information Technology, Canberra, Australia
  • 2Nottingham Trent University, School of Science & Technology, Department of Engineering, Advanced Optics and Photonics Laboratory, Nottingham, United Kingdom
  • 3Australian National University, Research School of Physics, Nonlinear Physics Centre, Canberra, Australia
  • 4Australian National University, Research School of Physics, ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS), Canberra, Australia
  • 5Queensland University of Technology, School of Electrical Engineering and Computer Science, Brisbane, Queensland, Australia
  • 6Australian National University, College of Engineering and Computer Science, Canberra, Australia
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    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, "Enhanced light–matter interactions in dielectric nanostructures via machine-learning approach," Adv. Photon. 2, 026003 (2020)

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    Paper Information

    Category: Research Articles

    Received: Mar. 15, 2020

    Accepted: Apr. 13, 2020

    Published Online: Apr. 30, 2020

    The Author Email: Rahmani Mohsen (mohsen.rahmani@anu.edu.au), Miroshnichenko Andrey E. (andrey.miroshnichenko@unsw.edu.au)

    DOI:10.1117/1.AP.2.2.026003

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