Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,485

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Room-Temperature All-Semiconducting Sub-10-nm Graphene Nanoribbon Field-Effect Transistors

Open access
Wang, Xinran, Ouyang, Yijian, Li, Xiaolin, Wang, Hailiang, Guo, Jing, Dai, Hongjie·2008·Physical Review Letters

Abstract

Sub-10 nm wide graphene nanoribbon field-effect transistors (GNRFETs) are studied systematically. All sub-10 nm GNRs afforded semiconducting FETs without exception, with ${I}_{\mathrm{on}}/{I}_{\mathrm{off}}$ ratio up to ${10}^{6}$ and on-state current density as high as $\ensuremath{\sim}2000\text{ }\text{ }\ensuremath{\mu}\mathrm{A}/\ensuremath{\mu}\mathrm{m}$. We estimated carrier mobility $\ensuremath{\sim}200\text{ }\text{ }{\mathrm{cm}}^{2}/\mathrm{V}\text{ }\mathrm{s}$ and scattering mean free path $\ensuremath{\sim}10\text{ }\text{ }\mathrm{nm}$ in sub-10 nm GNRs. Scattering mechanisms by edges, acoustic phonon, and defects are discussed. The sub-10 nm GNRFETs are comparable to small diameter ($d\ensuremath{\le}\ensuremath{\sim}1.2\text{ }\text{ }\mathrm{nm}$) carbon nanotube FETs with Pd contacts in on-state current density and ${I}_{\mathrm{on}}/{I}_{\mathrm{off}}$ ratio, but have the advantage of producing all-semiconducting devices.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevlett.100.206803

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 1,485

Metadata

Authors
Wang, X., Ouyang, Y., Li, X., Wang, H., Guo, J., & Dai, H.
Venue
Physical Review Letters
Published
2008-05-20
Volume
100
Issue
20
Pages
206803-206803
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2045416062
Cited by
1,485
References
4
FWCI
75.78
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Room-Temperature All-Semiconducting Sub-10-nm Graphene Nanoribbon Field-Effect Transistors. https://app.cochat.ai/papers/10.1103/physrevlett.100.206803
The paper
Wang, X., Ouyang, Y., Li, X., Wang, H., Guo, J., & Dai, H. (2008). Room-Temperature All-Semiconducting Sub-10-nm Graphene Nanoribbon Field-Effect Transistors. Physical Review Letters. https://doi.org/10.1103/physrevlett.100.206803

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.