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Cited by 475

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Surface Modification of Multiwalled Carbon Nanotubes: Toward the Tailoring of the Interface in Polymer Composites

Eitan, Ami, Jiang, Kuiyang, Dukes, Doug, Andrews, Rodney, Schadler, Linda S.·2003·Chemistry of Materials

Abstract

The ability to modify the surface of carbon nanotubes is of crucial importance for their utilization in different applications. In the present paper we report on the chemical modification of multiwalled carbon nanotubes (MWNT) by means of epoxide-based functional groups. MWNT were first carboxylated along their walls. This was followed by further reactions to attach di-glycidyl ether of bisphenol-A-based epoxide resin. The behavior of the modified nanotubes in various solvents was altered due to the chemical changes, and analytical techniques were utilized to detect the chemical attachments. The implications of the surface modification achieved are discussed primarily in terms of nanotube−polymer composite applications.

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Metadata

Authors
Eitan, A., Jiang, K., Dukes, D., Andrews, R., & Schadler, L. S.
Venue
Chemistry of Materials
Published
2003-07-02
Volume
15
Issue
16
Pages
3198-3201
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W1983856153
Cited by
475
References
1
FWCI
14.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface Modification of Multiwalled Carbon Nanotubes: Toward the Tailoring of the Interface in Polymer Composites. https://app.cochat.ai/papers/10.1021/cm020975d
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Eitan, A., Jiang, K., Dukes, D., Andrews, R., & Schadler, L. S. (2003). Surface Modification of Multiwalled Carbon Nanotubes: Toward the Tailoring of the Interface in Polymer Composites. Chemistry of Materials. https://doi.org/10.1021/cm020975d

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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.