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Strong magnetic response of submicron Silicon particles in the infrared

Open access
García-Etxarri, A., Gómez-Medina, R., Froufe-Pérez, L. S., López, C., Chantada, L., Scheffold, F., Aizpurua, J., Nieto-Vesperinas, M., Sáenz, J. J.·2011·Optics Express

Abstract

High-permittivity dielectric particles with resonant magnetic properties are being explored as constitutive elements of new metamaterials and devices. Magnetic properties of low-loss dielectric nanoparticles in the visible or infrared are not expected due to intrinsic low refractive index of optical media in these regimes. Here we analyze the dipolar electric and magnetic response of lossless dielectric spheres made of moderate permittivity materials. For low material refractive index (<∼3) there are no sharp resonances due to strong overlapping between different multipole contributions. However, we find that Silicon particles with index of refraction∼3.5 and radius∼200 nm present strong electric and magnetic dipolar resonances in telecom and near-infrared frequencies, (i.e. at wavelengths≈1.2-2 mm) without spectral overlap with quadrupolar and higher order resonances. The light scattered by these Si particles can then be perfectly described by dipolar electric and magnetic fields.

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Metadata

Authors
García-Etxarri, A., Gómez-Medina, R., Froufe-Pérez, L. S., López, C., Chantada, L., Scheffold, F., Aizpurua, J., Nieto-Vesperinas, M., & Sáenz, J. J.
Venue
Optics Express
Published
2011-02-28
Volume
19
Issue
6
Pages
4815
ISSN
1094-4087 (ISSN-L)
OpenAlex
W1999336950
Cited by
681
References
0
FWCI
14.64
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Strong magnetic response of submicron Silicon particles in the infrared. https://app.cochat.ai/papers/10.1364/oe.19.004815
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García-Etxarri, A., Gómez-Medina, R., Froufe-Pérez, L. S., López, C., Chantada, L., Scheffold, F., Aizpurua, J., Nieto-Vesperinas, M., & Sáenz, J. J. (2011). Strong magnetic response of submicron Silicon particles in the infrared. Optics Express. https://doi.org/10.1364/oe.19.004815

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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.