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The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Composites with carbon nanotubes and graphene: An outlook

Open access
Kinloch, Ian A., Suhr, Jonghwan, Lou, Jun, Young, Robert J., Ajayan, Pulickel M.·2018·Science

Abstract

Composite materials with carbon nanotube and graphene additives have long been considered as exciting prospects among nanotechnology applications. However, after nearly two decades of work in the area, questions remain about the practical impact of nanotube and graphene composites. This uncertainty stems from factors that include poor load transfer, interfacial engineering, dispersion, and viscosity-related issues that lead to processing challenges in such nanocomposites. Moreover, there has been little effort to identify selection rules for the use of nanotubes or graphene in composite matrices for specific applications. This review is a critical look at the status of composites for developing high-strength, low-density, high-conductivity materials with nanotubes or graphene. An outlook of the different approaches that can lead to practically useful nanotube and graphene composites is presented, pointing out the challenges and opportunities that exist in the field.

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Crossref · 10.1126/science.aat7439

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Metadata

Authors
Kinloch, I. A., Suhr, J., Lou, J., Young, R. J., & Ajayan, P. M.
Venue
Science
Published
2018-11-02
Volume
362
Issue
6414
Pages
547-553
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2898959196
Cited by
1,040
References
27
FWCI
31.72
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Composites with carbon nanotubes and graphene: An outlook. https://app.cochat.ai/papers/10.1126/science.aat7439
The paper
Kinloch, I. A., Suhr, J., Lou, J., Young, R. J., & Ajayan, P. M. (2018). Composites with carbon nanotubes and graphene: An outlook. Science. https://doi.org/10.1126/science.aat7439

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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.