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Cited by 379

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Controlling graphene plasmons with resonant metal antennas and spatial conductivity patterns

Open access
Alonso-González, P., Nikitin, A. Y., Golmar, F., Centeno, A., Pesquera, A., Vélez, S., Chen, J., Navickaite, G., Koppens, F., Zurutuza, A., Casanova, F., Hueso, L. E., Hillenbrand, R.·2014·Science

Abstract

A controlled launch for plasmons: To create nanophotonic devices, engineers must combine large-scale optics with tiny nanoelectronics. Plasmons, the collective light-induced excitations of electrons at a metal's surface, can bridge that difference in size scales. Alonso-Gonzalez et al. placed structured gold “antennas” on top of a graphene layer to launch and propagate plasmonic excitations into the graphene. By carefully designing the antennas, the researchers could engineer the wavefronts of the plasmons and control the direction of propagation. This approach illustrates a versatile approach for the development of nanophotonics. Science , this issue p. 1369

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Crossref · 10.1126/science.1253202

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Metadata

Authors
Alonso-González, P., Nikitin, A. Y., Golmar, F., Centeno, A., Pesquera, A., Vélez, S., Chen, J., Navickaite, G., Koppens, F., Zurutuza, A., Casanova, F., Hueso, L. E., & Hillenbrand, R.
Venue
Science
Published
2014-06-20
Volume
344
Issue
6190
Pages
1369-1373
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2038918967
Cited by
379
References
1
FWCI
25.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Controlling graphene plasmons with resonant metal antennas and spatial conductivity patterns. https://app.cochat.ai/papers/10.1126/science.1253202
The paper
Alonso-González, P., Nikitin, A. Y., Golmar, F., Centeno, A., Pesquera, A., Vélez, S., Chen, J., Navickaite, G., Koppens, F., Zurutuza, A., Casanova, F., Hueso, L. E., & Hillenbrand, R. (2014). Controlling graphene plasmons with resonant metal antennas and spatial conductivity patterns. Science. https://doi.org/10.1126/science.1253202

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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.