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Cited by 856

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Comparative analysis of edge- and broadside-coupled split ring resonators for metamaterial design - Theory and experiments

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Marques, R., Mesa, F., Martel, J., Medina, F.·2003·IEEE Transactions on Antennas and Propagation

Abstract

This paper develops a quasi-analytical and self-consistent model to compute the polarizabilities of split ring resonators (SRRs). An experimental setup is also proposed for measuring the magnetic polarizability of these structures. Experimental data are provided and compared with theoretical results computed following the proposed model. By using a local field approach, the model is applied to the obtaining of the dispersion characteristics of discrete negative magnetic permeability and left-handed metamaterials. Two types of SRRs, namely, the so-called edge coupled- and broadside coupled- SRRs, have been considered. A comparative analysis of these two structures has been carried out in connection with their suitability for the design of metamaterials. Advantages and disadvantages of both structures are discussed.

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Metadata

Authors
Marques, R., Mesa, F., Martel, J., & Medina, F.
Venue
IEEE Transactions on Antennas and Propagation
Published
2003-10
Volume
51
Issue
10
Pages
2572-2581
ISSN
0018-926X (ISSN-L)
OpenAlex
W2103384997
Cited by
856
References
1
FWCI
18.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Comparative analysis of edge- and broadside-coupled split ring resonators for metamaterial design - Theory and experiments. https://app.cochat.ai/papers/10.1109/tap.2003.817562
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Marques, R., Mesa, F., Martel, J., & Medina, F. (2003). Comparative analysis of edge- and broadside-coupled split ring resonators for metamaterial design - Theory and experiments. IEEE Transactions on Antennas and Propagation. https://doi.org/10.1109/tap.2003.817562

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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.