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

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

doi:10.1117/1.AP.2.2.026003

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

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

Lei Xu^1,2, Mohsen Rahmani^2,3,4、*, Yixuan Ma¹, Daria A. Smirnova³, Khosro Zangeneh Kamali^3,4, Fu Deng¹, Yan Kei Chiang¹, Lujun Huang¹, Haoyang Zhang⁵, Stephen Gould⁶, Dragomir N. Neshev^3,4, and Andrey E. Miroshnichenko^1、*

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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