Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 227

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Infrared Spectroscopy of Wafer-Scale Graphene

Open access
Yan, Hugen, Xia, Fengnian, Zhu, Wenjuan, Freitag, Marcus, Dimitrakopoulos, Christos, Bol, Ageeth A., Tulevski, George, Avouris, Phaedon·2011·ACS Nano

Abstract

We report spectroscopy results from the mid- to far-infrared on wafer-scale graphene, grown either epitaxially on silicon carbide or by chemical vapor deposition. The free carrier absorption (Drude peak) is simultaneously obtained with the universal optical conductivity (due to interband transitions) and the wavelength at which Pauli blocking occurs due to band filling. From these, the graphene layer number, doping level, sheet resistivity, carrier mobility, and scattering rate can be inferred. The mid-IR absorption of epitaxial two-layer graphene shows a less pronounced peak at 0.37 ± 0.02 eV compared to that in exfoliated bilayer graphene. In heavily chemically doped single-layer graphene, a record high transmission reduction due to free carriers approaching 40% at 250 μm (40 cm(-1)) is measured in this atomically thin material, supporting the great potential of graphene in far-infrared and terahertz optoelectronics.

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 · 10.1021/nn203506n

Cites

3 of 3 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 3 references

Cited by

See all 227

Metadata

Authors
Yan, H., Xia, F., Zhu, W., Freitag, M., Dimitrakopoulos, C., Bol, A. A., Tulevski, G., & Avouris, P.
Venue
ACS Nano
Published
2011-11-17
Volume
5
Issue
12
Pages
9854-9860
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2026833198
Cited by
227
References
3
FWCI
10.07
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: Infrared Spectroscopy of Wafer-Scale Graphene. https://app.cochat.ai/papers/10.1021/nn203506n
The paper
Yan, H., Xia, F., Zhu, W., Freitag, M., Dimitrakopoulos, C., Bol, A. A., Tulevski, G., & Avouris, P. (2011). Infrared Spectroscopy of Wafer-Scale Graphene. ACS Nano. https://doi.org/10.1021/nn203506n

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.