Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 715

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

The shear mode of multilayer graphene

Open access
Tan, P. H., Han, W. P., Zhao, W. J., Wu, Z. H., Chang, K., Wang, H., Wang, Y. F., Bonini, N., Marzari, N., Pugno, N., Savini, G., Lombardo, A., Ferrari, A. C.·2012·Nature Materials

Abstract

The quest for materials capable of realizing the next generation of electronic and photonic devices continues to fuel research on the electronic, optical and vibrational properties of graphene. Few-layer graphene (FLG) flakes with less than ten layers each show a distinctive band structure. Thus, there is an increasing interest in the physics and applications of FLGs. Raman spectroscopy is one of the most useful and versatile tools to probe graphene samples. Here, we uncover the interlayer shear mode of FLGs, ranging from bilayer graphene (BLG) to bulk graphite, and suggest that the corresponding Raman peak measures the interlayer coupling. This peak scales from ~43 cm(-1) in bulk graphite to ~31 cm(-1) in BLG. Its low energy makes it sensitive to near-Dirac point quasiparticles. Similar shear modes are expected in all layered materials, providing a direct probe of interlayer interactions.

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 · 10.1038/nmat3245

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 715

Metadata

Authors
Tan, P. H., Han, W. P., Zhao, W. J., Wu, Z. H., Chang, K., Wang, H., Wang, Y. F., Bonini, N., Marzari, N., Pugno, N., Savini, G., Lombardo, A., & Ferrari, A. C.
Venue
Nature Materials
Published
2012-02-05
Volume
11
Issue
4
Pages
294-300
ISSN
  • 1476-1122 (ISSN-L)
  • 1476-4660
OpenAlex
W2100841124
Cited by
715
References
4
FWCI
24.62
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: The shear mode of multilayer graphene. https://app.cochat.ai/papers/10.1038/nmat3245
The paper
Tan, P. H., Han, W. P., Zhao, W. J., Wu, Z. H., Chang, K., Wang, H., Wang, Y. F., Bonini, N., Marzari, N., Pugno, N., Savini, G., Lombardo, A., & Ferrari, A. C. (2012). The shear mode of multilayer graphene. Nature Materials. https://doi.org/10.1038/nmat3245

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.