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

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

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	381-382
Number of pages	2
Journal	International Conference on Metamaterials, Photonic Crystals and Plasmonics
Publication status	Published - 2021
Event	11th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2021 - Warsaw, Poland Duration: 20 Jul 2021 → 23 Jul 2021

Cite this

@article{e269186a678849e1994a367bf2a1a0cf,

title = "Deep Learning Approach for the Enhanced Light-Matter Interactions in Dielectric Nanostructures",

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.",

author = "Lei Xu and Mohsen Rahmani and Yixuan Ma and Smirnova, \{Daria A.\} and Kamali, \{Khosro Zangeneh\} and Fu Deng and Chiang, \{Yan Kei\} and Lujun Huang and Haoyang Zhang and Stephen Gould and Neshev, \{Dragomir N.\} and Miroshnichenko, \{Andrey E.\}",

note = "Publisher Copyright: {\textcopyright} 2021 META Conference. All rights reserved.; 11th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2021 ; Conference date: 20-07-2021 Through 23-07-2021",

year = "2021",

language = "English",

pages = "381--382",

journal = "International Conference on Metamaterials, Photonic Crystals and Plasmonics",

issn = "2429-1390",

publisher = "META Conference",

}

TY - JOUR

T1 - Deep Learning Approach for the Enhanced Light-Matter Interactions in Dielectric Nanostructures

AU - Xu, Lei

AU - Rahmani, Mohsen

AU - Ma, Yixuan

AU - Smirnova, Daria A.

AU - Kamali, Khosro Zangeneh

AU - Deng, Fu

AU - Chiang, Yan Kei

AU - Huang, Lujun

AU - Zhang, Haoyang

AU - Gould, Stephen

AU - Neshev, Dragomir N.

AU - Miroshnichenko, Andrey E.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85172462792

M3 - Conference article

AN - SCOPUS:85172462792

SN - 2429-1390

SP - 381

EP - 382

JO - International Conference on Metamaterials, Photonic Crystals and Plasmonics

JF - International Conference on Metamaterials, Photonic Crystals and Plasmonics

T2 - 11th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2021

Y2 - 20 July 2021 through 23 July 2021

ER -

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

Abstract

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