The DOI matches its Crossref record.
Scratch-Resistant, Highly Conductive, and High-Strength Carbon Nanotube-Based Composite Yarns
Abstract
High-strength and conductive carbon nanotube (CNT) yarns are very attractive in many potential applications. However, there is a difficulty when simultaneously enhancing the strength and conductivity of CNT yarns. Adding some polymers into CNT yarns to enhance their strength will decrease their conductivity, while treating them in acid or coating them with metal nanoparticles to enhance their conductivity will reduce their strength. To overcome this difficulty, here we report a method to make high-strength and highly conductive CNT-based composite yarns by using a continuous superaligned CNT (SACNT) yarn as a conductive framework and then inserting polyvinyl alcohol (PVA) into the intertube spaces of the framework through PVA/dimethyl sulphoxide solution to enhance the strength of yarns. The as-produced CNT/PVA composite yarns possess very high tensile strengths up to 2.0 GPa and Young's moduli more than 120 GPa, much higher than those of the CNT/PVA yarns reported. The electric conductivity of as-produced composite yarns is as high as 9.2 × 10(4) S/m, comparable to HNO(3)-treated or Au nanoparticle-coated CNT yarns. These composite yarns are flexible, lightweight, scratch-resistant, very stable in the lab environment, and resistant to extremely humid ambient and as a result can be woven into high-strength and heatable fabrics, showing potential applications in flexible heaters, bullet-proof vests, radiation protection suits, and spacesuits.
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
Nanomaterial‐Enabled Stretchable Conductors: Strategies, Materials and Devices
Yao, S., & Zhu, Y. (2015) · Advanced Materials · doi:10.1002/adma.201404446 · Cited by 695
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
Polymer/Carbon Nanotube Nano Composite Fibers–A Review
Liu, Y., & Kumar, S. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am405136s · Cited by 552
Li, Y., Zhou, B., Zheng, G., Liu, X., Li, T., Yan, C., Cheng, C., Dai, K., Liu, C., Shen, C., et al. (2018) · Journal of Materials Chemistry C · doi:10.1039/c7tc04959e · Cited by 459
Superaligned Carbon Nanotube Arrays, Films, and Yarns: A Road to Applications
Jiang, K., Wang, J., Li, Q., Liu, L., Liu, C., & Fan, S. (2011) · Advanced Materials · doi:10.1002/adma.201003989 · Cited by 443
Self-citation
Metadata
- Authors
- Liu, K., Sun, Y., Lin, X., Zhou, R., Wang, J., Fan, S., & Jiang, K.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-09-10
- Volume
- 4
- Issue
- 10
- Pages
- 5827-5834
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2328936440
- Cited by
- 271
- References
- 0
- FWCI
- 10.19
- 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: Scratch-Resistant, Highly Conductive, and High-Strength Carbon Nanotube-Based Composite Yarns. https://app.cochat.ai/papers/10.1021/nn1017318
- The paper
- Liu, K., Sun, Y., Lin, X., Zhou, R., Wang, J., Fan, S., & Jiang, K. (2010). Scratch-Resistant, Highly Conductive, and High-Strength Carbon Nanotube-Based Composite Yarns. ACS Nano. https://doi.org/10.1021/nn1017318
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.