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Enhanced Third-Harmonic Generation in Silicon Nanoparticles Driven by Magnetic Response

Shcherbakov, Maxim R., Neshev, Dragomir N., Hopkins, Ben, Shorokhov, Alexander S., Staude, Isabelle, Melik-Gaykazyan, Elizaveta V., Decker, Manuel, Ezhov, Alexander A., Miroshnichenko, Andrey E., Brener, Igal, Fedyanin, Andrey A., Kivshar, Yuri S.·2014·Nano Letters

Abstract

We observe enhanced third-harmonic generation from silicon nanodisks exhibiting both electric and magnetic dipolar resonances. Experimental characterization of the nonlinear optical response through third-harmonic microscopy and spectroscopy reveals that the third-harmonic generation is significantly enhanced in the vicinity of the magnetic dipole resonances. The field localization at the magnetic resonance results in two orders of magnitude enhancement of the harmonic intensity with respect to unstructured bulk silicon with the conversion efficiency limited only by the two-photon absorption in the substrate.

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Metadata

Authors
Shcherbakov, M. R., Neshev, D. N., Hopkins, B., Shorokhov, A. S., Staude, I., Melik-Gaykazyan, E. V., Decker, M., Ezhov, A. A., Miroshnichenko, A. E., Brener, I., Fedyanin, A. A., & Kivshar, Y. S.
Venue
Nano Letters
Published
2014-10-21
Volume
14
Issue
11
Pages
6488-6492
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2034687471
Cited by
629
References
1
FWCI
28.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enhanced Third-Harmonic Generation in Silicon Nanoparticles Driven by Magnetic Response. https://app.cochat.ai/papers/10.1021/nl503029j
The paper
Shcherbakov, M. R., Neshev, D. N., Hopkins, B., Shorokhov, A. S., Staude, I., Melik-Gaykazyan, E. V., Decker, M., Ezhov, A. A., Miroshnichenko, A. E., Brener, I., Fedyanin, A. A., & Kivshar, Y. S. (2014). Enhanced Third-Harmonic Generation in Silicon Nanoparticles Driven by Magnetic Response. Nano Letters. https://doi.org/10.1021/nl503029j

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.