The DOI matches its Crossref record.
High-Performance Carbon Nanotube Fiber
Abstract
With their impressive individual properties, carbon nanotubes should form high-performance fibers. We explored the roles of nanotube length and structure, fiber density, and nanotube orientation in achieving optimum mechanical properties. We found that carbon nanotube fiber, spun directly and continuously from gas phase as an aerogel, combines high strength and high stiffness (axial elastic modulus), with an energy to breakage (toughness) considerably greater than that of any commercial high-strength fiber. Different levels of carbon nanotube orientation, fiber density, and mechanical properties can be achieved by drawing the aerogel at various winding rates. The mechanical data obtained demonstrate the considerable potential of carbon nanotube assemblies in the quest for maximal mechanical performance. The statistical aspects of the mechanical data reveal the deleterious effect of defects and indicate strategies for future work.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Ultrastrong Fibers Assembled from Giant Graphene Oxide Sheets
Xu, Z., Sun, H., Zhao, X., & Gao, C. (2013) · Advanced Materials · doi:10.1002/adma.201203448 · Cited by 699
Carbon-Based Fibers for Advanced Electrochemical Energy Storage Devices
Chen, S., Qiu, L., & Cheng, H.-M. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00466 · Cited by 555
Ultralight Multiwalled Carbon Nanotube Aerogel
Zou, J., Liu, J., Karakoti, A. S., Kumar, A., Joung, D., Li, Q., Khondaker, S. I., Seal, S., & Zhai, L. (2010) · ACS Nano · doi:10.1021/nn102246a · Cited by 509
Multiresponsive Graphene‐Aerogel‐Directed Phase‐Change Smart Fibers
Li, G., Hong, G., Dong, D., Song, W., & Zhang, X. (2018) · Advanced Materials · doi:10.1002/adma.201801754 · Cited by 465
Kim, S. Y., Park, S., Park, H. W., Park, D. H., Jeong, Y., & Kim, D. H. (2015) · Advanced Materials · doi:10.1002/adma.201501408 · Cited by 416
Metadata
- Authors
- Koziol, K., Vilatela, J., Moisala, A., Motta, M., Cunniff, P., Sennett, M., & Windle, A.
- Venue
- Science
- Published
- 2007-12-21
- Volume
- 318
- Issue
- 5858
- Pages
- 1892-1895
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2084363317
- Cited by
- 1,038
- References
- 0
- FWCI
- 18.47
- 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: High-Performance Carbon Nanotube Fiber. https://app.cochat.ai/papers/10.1126/science.1147635
- The paper
- Koziol, K., Vilatela, J., Moisala, A., Motta, M., Cunniff, P., Sennett, M., & Windle, A. (2007). High-Performance Carbon Nanotube Fiber. Science. https://doi.org/10.1126/science.1147635
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.