Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 406

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Magnetic properties of vacancies in graphene and single-walled carbon nanotubes

Open access
Ma, Yuchen, Lehtinen, P O, Foster, A S, Nieminen, R M·2004·New Journal of Physics

Abstract

Spin-polarized density functional theory has been used to study the properties of vacancies in a graphene sheet and in single-walled carbon nanotubes (SWNTs). For graphene, we find that the vacancies are magnetic and the symmetry of the sheet is broken by the distortion of an atom next to the vacancy site. We also studied vacancies in four armchair SWNTs from (3,3) to (6,6) and six zigzag SWNTs from (5,0) to (10,0). Our calculations demonstrate that vacancies can change the electronic structure of SWNTs, converting some metallic nanotubes to semiconductors and vice versa. Metallic nanotubes with vacancies exhibit ferro- or ferrimagnetism, whereas some semiconducting nanotubes with vacancies show an antiferromagnetic order. The magnetic properties depend on chiralities of the tubes, the configuration of the vacancy and the concentration of the vacancies.

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 · 10.1088/1367-2630/6/1/068

Cites

32 of 32 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

1 retracted

Show all 32 references

Metadata

Authors
Ma, Y., Lehtinen, P. O., Foster, A. S., & Nieminen, R. M.
Venue
New Journal of Physics
Published
2004-06-29
Volume
6
Pages
68-68
ISSN
1367-2630 (ISSN-L)
OpenAlex
W2013417708
Cited by
406
References
32
FWCI
8.96
Type
journal article
Language
en
Open access
gold

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: Magnetic properties of vacancies in graphene and single-walled carbon nanotubes. https://app.cochat.ai/papers/10.1088/1367-2630/6/1/068
The paper
Ma, Y., Lehtinen, P. O., Foster, A. S., & Nieminen, R. M. (2004). Magnetic properties of vacancies in graphene and single-walled carbon nanotubes. New Journal of Physics. https://doi.org/10.1088/1367-2630/6/1/068

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.