Electrically driven plasmonic nanocavities for active control of excitonic strong coupling

Single-crystal plasmonic nanostructures having atomically smooth surfaces and ideal crystalline quality open up new opportunities to realize highly confined plasmonic modes with increased quality factors. Demonstrating this on the examples of nanoparticle-on-mirror plasmonic nanocavities and plasmonic gratings, we further develop active functionalities on their basis. Particularly, integrating a semiconductor monolayer into a nanometer gap of a single electrically driven nanocube-on-mirror plasmonic nanocavity, we demonstrate electric control of excitonic strong coupling and electroluminescence.

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Published
2025-09-16
DOI
https://doi.org/10.1117/12.3067428
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

Electrically driven plasmonic nanocavities for active control of excitonic strong coupling

Lufang Liu, Anatoly V. Zayats, Limin Tong, Alexey V. Krasavin et al.
Neural Networks and Reservoir Computing
article

Electrically driven plasmonic nanocavities for active control of excitonic strong coupling

Lufang Liu, Anatoly V. Zayats, Limin Tong, Alexey V. Krasavin, Pan Wang, Junsheng Zheng, Zhenxin Wang
article en

Abstract

Single-crystal plasmonic nanostructures having atomically smooth surfaces and ideal crystalline quality open up new opportunities to realize highly confined plasmonic modes with increased quality factors. Demonstrating this on the examples of nanoparticle-on-mirror plasmonic nanocavities and plasmonic gratings, we further develop active functionalities on their basis. Particularly, integrating a semiconductor monolayer into a nanometer gap of a single electrically driven nanocube-on-mirror plasmonic nanocavity, we demonstrate electric control of excitonic strong coupling and electroluminescence.

King's College London (GB), Zhejiang University (CN)
Openalex Percentile: Top 87%
Neural Networks and Reservoir Computing
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