The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Double-Layer Graphene Optical Modulator
Abstract
Here we report a high-performance double-layer graphene optical modulator. By using two graphene layers and an oxide layer in between to form a p-oxide-n like junction, this modulator operates at 1 GHz with a high modulation depth (~0.16 dB/μm) at a moderate drive voltage (~5 V). Benefited from the symmetrical band structure of graphene near Dirac point, such design eliminates the optical loss widely existing in silicon photonics and has advantages including small footprint, low energy consumption, and low insertion loss.
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Citations
Cites
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Cited by
Raman characterization of defects and dopants in graphene
Beams, R., Gustavo Cançado, L., & Novotny, L. (2015) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/27/8/083002 · Cited by 709
Rahim, A., Hermans, A., Wohlfeil, B., Petousi, D., Kuyken, B., Van Thourhout, D., & Baets, R. G. (2021) · Advanced Photonics · doi:10.1117/1.ap.3.2.024003 · Cited by 391
Recent breakthroughs in carrier depletion based silicon optical modulators
Reed, G. T., Mashanovich, G. Z., Gardes, F. Y., Nedeljkovic, M., Hu, Y., Thomson, D. J., Li, K., Wilson, P. R., Chen, S., & Hsu, S. S. (2014) · Nanophotonics · doi:10.1515/nanoph-2013-0016 · Cited by 235
Graphene on Silicon Modulators
Sorianello, V., Contestabile, G., & Romagnoli, M. (2020) · Journal of Lightwave Technology · doi:10.1109/jlt.2020.2974189 · Cited by 40
Metadata
- Authors
- Liu, M., Yin, X., & Zhang, X.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-02-16
- Volume
- 12
- Issue
- 3
- Pages
- 1482-1485
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2131410875
- Cited by
- 787
- References
- 19
- FWCI
- 27.80
- Type
- journal article
- Language
- en
- Open access
- closed
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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.