Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,354

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Strong, Light, Multifunctional Fibers of Carbon Nanotubes with Ultrahigh Conductivity

Behabtu, Natnael, Young, Colin C., Tsentalovich, Dmitri E., Kleinerman, Olga, Wang, Xuan, Ma, Anson W. K., Bengio, E. Amram, ter Waarbeek, Ron F., de Jong, Jorrit J., Hoogerwerf, Ron E., Fairchild, Steven B., Ferguson, John B., Maruyama, Benji, Kono, Junichiro, Talmon, Yeshayahu, Cohen, Yachin, Otto, Marcin J., Pasquali, Matteo·2013·Science

Abstract

Optimizing Carbon Nanotubes: Shorter carbon nanotubes are easier to make, but, when assembled into fibers, the resulting fiber properties are much poorer than might be predicted by theory. Conversely, longer carbon nanotubes have much better properties but are harder to process. Behabtu et al. (p. 182 ) combined the best of both worlds through scalable wet spinning method, in which they dissolved longer carbon nanotubes and then spun them into fibers that showed excellent strength, stiffness, and thermal conductivity.

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 · 10.1126/science.1228061

Cites

2 of 2 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 2 references

Cited by

See all 1,354

Metadata

Authors
Behabtu, N., Young, C. C., Tsentalovich, D. E., Kleinerman, O., Wang, X., Ma, A. W. K., Bengio, E. A., ter Waarbeek, R. F., de Jong, J. J., Hoogerwerf, R. E., Fairchild, S. B., Ferguson, J. B., Maruyama, B., Kono, J., Talmon, Y., Cohen, Y., Otto, M. J., & Pasquali, M.
Venue
Science
Published
2013-01-11
Volume
339
Issue
6116
Pages
182-186
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2028527374
Cited by
1,354
References
2
FWCI
48.25
Type
journal article
Language
en
Open access
closed

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: Strong, Light, Multifunctional Fibers of Carbon Nanotubes with Ultrahigh Conductivity. https://app.cochat.ai/papers/10.1126/science.1228061
The paper
Behabtu, N., Young, C. C., Tsentalovich, D. E., Kleinerman, O., Wang, X., Ma, A. W. K., Bengio, E. A., ter Waarbeek, R. F., de Jong, J. J., Hoogerwerf, R. E., Fairchild, S. B., Ferguson, J. B., Maruyama, B., Kono, J., Talmon, Y., Cohen, Y., Otto, M. J., & Pasquali, M. (2013). Strong, Light, Multifunctional Fibers of Carbon Nanotubes with Ultrahigh Conductivity. Science. https://doi.org/10.1126/science.1228061

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.