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Intrinsic and extrinsic performance limits of graphene devices on SiO2

Open access
Chen, Jian-Hao, Jang, Chaun, Xiao, Shudong, Ishigami, Masa, Fuhrer, Michael S.·2008·Nature Nanotechnology

Abstract

The linear dispersion relation in graphene gives rise to a surprising prediction: the resistivity due to isotropic scatterers, such as white-noise disorder or phonons, is independent of carrier density, n. Here we show that electron-acoustic phonon scattering is indeed independent of n, and contributes only 30 Omega to graphene's room-temperature resistivity. At a technologically relevant carrier density of 1 x1012 cm-2, we infer a mean free path for electron-acoustic phonon scattering of >2 microm and an intrinsic mobility limit of 2 x 105 cm2 V-1 s-1. If realized, this mobility would exceed that of InSb, the inorganic semiconductor with the highest known mobility ( approximately 7.7 x 104 cm2 V-1 s-1; ref. 9) and that of semiconducting carbon nanotubes ( approximately 1 x 105 cm2 V-1 s-1; ref. 10). A strongly temperature-dependent resistivity contribution is observed above approximately 200 K (ref. 8); its magnitude, temperature dependence and carrier-density dependence are consistent with extrinsic scattering by surface phonons at the SiO2 substrate and limit the room-temperature mobility to approximately 4 x 104 cm2 V-1 s-1, indicating the importance of substrate choice for graphene devices.

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Metadata

Authors
Chen, J.-H., Jang, C., Xiao, S., Ishigami, M., & Fuhrer, M. S.
Venue
Nature Nanotechnology
Published
2008-03-23
Volume
3
Issue
4
Pages
206-209
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2126934395
Cited by
3,173
References
3
FWCI
73.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Intrinsic and extrinsic performance limits of graphene devices on SiO2. https://app.cochat.ai/papers/10.1038/nnano.2008.58
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Chen, J.-H., Jang, C., Xiao, S., Ishigami, M., & Fuhrer, M. S. (2008). Intrinsic and extrinsic performance limits of graphene devices on SiO2. Nature Nanotechnology. https://doi.org/10.1038/nnano.2008.58

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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.