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Cited by 33

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Magneto-optical metamaterials with extraordinarily strong magneto-optical effect

Luo, Xiaoguang, Zhou, Ming, Liu, Jingfeng, Qiu, Teng, Yu, Zongfu·2016·Applied Physics Letters

Abstract

In optical frequencies, natural materials exhibit very weak magneto-optical effect. This weak effect can be easily recognized in the dielectric tensor where the ratio between the imaginary off-diagonal and diagonal components is extremely small. Here, we show that man-made metamaterials can greatly enhance this ratio, leading to an extraordinarily enhanced magneto-optical effect.

Overview

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Crossref · 10.1063/1.4945051

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30 of 30 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Research works printed but not linked: 2

  1. 1997, Modern Magneto-optics and MO Materials
  2. 1980, Principles of Optics

Cited by

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Metadata

Authors
Luo, X., Zhou, M., Liu, J., Qiu, T., & Yu, Z.
Affiliations
  • Southeast University 1 Department of Physics, , Nanjing 211189, China
  • University of Wisconsin-Madison 2 Department of Electrical and Computer Engineering, , Wisconsin 53706, USA
Venue
Applied Physics Letters
Published
2016-03-28
Volume
108
Issue
13
ISSN
  • 0003-6951
  • 1077-3118
Cited by
33
References
30
Language
en
Funders
  • Wisconsin Alumni Research Foundation
  • China Scholarship Council

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CoChat. (2026). Citation check: Magneto-optical metamaterials with extraordinarily strong magneto-optical effect. https://app.cochat.ai/papers/10.1063/1.4945051
The paper
Luo, X., Zhou, M., Liu, J., Qiu, T., & Yu, Z. (2016). Magneto-optical metamaterials with extraordinarily strong magneto-optical effect. Applied Physics Letters. https://doi.org/10.1063/1.4945051

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.