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

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

Fingerprint

Dive into the research topics of 'Deep Learning Approach for the Enhanced Light-Matter Interactions in Dielectric Nanostructures'. Together they form a unique fingerprint.

Cite this