The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Toolbox for Dispersing Carbon Nanotubes into Polymers To Get Conductive Nanocomposites
Abstract
The three main strategies for dispersing carbon nanotubes (NTs) into a polymer matrix to get conductive nanocomposites are described, and illustrated with some appealing examples. The direct mixing of the NTs and the polymer is the ‘simplest' concept to achieve this goal. Other approaches concern the modification of either the polymer matrix or the NT walls in order to improve the wetting of the filler with the matrix material, and thus promote the incorporation of the NTs into the polymer matrix. Most promising results seem to be obtained upon the addition of a third component. The basic concept is the generation of a stable colloidal system containing both a suspension of NTs stabilized by surfactant molecules in water, and polymer latex. After removal of the water, the resulting powder can be processed into the desired shape. This versatile and environmentally benign concept offers low percolation thresholds and relatively high conductivity levels.
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
Cites
Kirkpatrick, S. (1973) · Reviews of Modern Physics · doi:10.1103/revmodphys.45.574 · Cited by 5,260
Cited by
Dispersion and functionalization of carbon nanotubes for polymer-based nanocomposites: A review
Ma, P.-C., Siddiqui, N. A., Marom, G., & Kim, J.-K. (2010) · Composites Part A: Applied Science and Manufacturing · doi:10.1016/j.compositesa.2010.07.003 · Cited by 3,414
Carbon nanotube–polymer composites: Chemistry, processing, mechanical and electrical properties
Spitalsky, Z., Tasis, D., Papagelis, K., & Galiotis, C. (2010) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2009.09.003 · Cited by 3,125
Graphene Oxide Sheets at Interfaces
Kim, J., Cote, L. J., Kim, F., Yuan, W., Shull, K. R., & Huang, J. (2010) · Journal of the American Chemical Society · doi:10.1021/ja102777p · Cited by 1,762
A review on carbon nanotubes and graphene as fillers in reinforced polymer nanocomposites
Mittal, G., Dhand, V., Rhee, K. Y., Park, S.-J., & Lee, W. R. (2015) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2014.03.022 · Cited by 1,371
Recent advances in carbon-based polymer nanocomposites for electromagnetic interference shielding
Abbasi, H., Antunes, M., & Velasco, J. I. (2019) · Progress in Materials Science · doi:10.1016/j.pmatsci.2019.02.003 · Cited by 744
Metadata
- Authors
- Grossiord, N., Loos, J., Regev, O., & Koning, C. E.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-01-31
- Volume
- 18
- Issue
- 5
- Pages
- 1089-1099
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W2016471235
- Cited by
- 529
- References
- 1
- FWCI
- 23.44
- 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
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.