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Cited by 420

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

State-of-the-Art Graphene High-Frequency Electronics

Wu, Yanqing, Jenkins, Keith A., Valdes-Garcia, Alberto, Farmer, Damon B., Zhu, Yu, Bol, Ageeth A., Dimitrakopoulos, Christos, Zhu, Wenjuan, Xia, Fengnian, Avouris, Phaedon, Lin, Yu-Ming·2012·Nano Letters

Abstract

High-performance graphene transistors for radio frequency applications have received much attention and significant progress has been achieved. However, devices based on large-area synthetic graphene, which have direct technological relevance, are still typically outperformed by those based on mechanically exfoliated graphene. Here, we report devices with intrinsic cutoff frequency above 300 GHz, based on both wafer-scale CVD grown graphene and epitaxial graphene on SiC, thus surpassing previous records on any graphene material. We also demonstrate devices with optimized architecture exhibiting voltage and power gains reaching 20 dB and a wafer-scale integrated graphene amplifier circuit with voltage amplification.

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Crossref · 10.1021/nl300904k

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Metadata

Authors
Wu, Y., Jenkins, K. A., Valdes-Garcia, A., Farmer, D. B., Zhu, Y., Bol, A. A., Dimitrakopoulos, C., Zhu, W., Xia, F., Avouris, P., & Lin, Y.-M.
Venue
Nano Letters
Published
2012-05-14
Volume
12
Issue
6
Pages
3062-3067
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W1976198442
Cited by
420
References
2
FWCI
22.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: State-of-the-Art Graphene High-Frequency Electronics. https://app.cochat.ai/papers/10.1021/nl300904k
The paper
Wu, Y., Jenkins, K. A., Valdes-Garcia, A., Farmer, D. B., Zhu, Y., Bol, A. A., Dimitrakopoulos, C., Zhu, W., Xia, F., Avouris, P., & Lin, Y.-M. (2012). State-of-the-Art Graphene High-Frequency Electronics. Nano Letters. https://doi.org/10.1021/nl300904k

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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.