The DOI matches its Crossref record; 230 of the 230 references it cites were found in a registry or an index.
Polymer Nanocomposites—A Comparison between Carbon Nanotubes, Graphene, and Clay as Nanofillers
Open accessAbstract
Nanofilled polymeric matrices have demonstrated remarkable mechanical, electrical, and thermal properties. In this article we review the processing of carbon nanotube, graphene, and clay montmorillonite platelet as potential nanofillers to form nanocomposites. The various functionalization techniques of modifying the nanofillers to enable interaction with polymers are summarized. The importance of filler dispersion in the polymeric matrix is highlighted. Finally, the challenges and future outlook for nanofilled polymeric composites are presented.
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Cited by
Polylactic acid blends: The future of green, light and tough
Hamad, K., Kaseem, M., Ayyoob, M., Joo, J., & Deri, F. (2018) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2018.07.001 · Cited by 640
Bikiaris, N. D., Koumentakou, I., Samiotaki, C., Meimaroglou, D., Varytimidou, D., Karatza, A., Kalantzis, Z., Roussou, M., Bikiaris, R. D., & Papageorgiou, G. Z. (2023) · Polymers · doi:10.3390/polym15051196 · Cited by 279
Polylactic acid (PLA)-based multifunctional and biodegradable nanocomposites and their applications
Islam, M. S., Elahee, G. M. F., Fang, Y., Yu, X. (., Advincula, R. C., & Cao, C. (. (2025) · Composites Part B Engineering · doi:10.1016/j.compositesb.2025.112842 · Cited by 86
Metadata
- Authors
- Bhattacharya, M.
- Venue
- Materials
- Publisher
- MDPI AG
- Published
- 2016-04-01
- Volume
- 9
- Issue
- 4
- Pages
- 262
- ISSN
- 1996-1944 (ISSN-L)
- OpenAlex
- W2324366651
- Cited by
- 747
- References
- 230
- FWCI
- 47.55
- Type
- journal article
- Language
- en
- Open access
- gold
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- Bhattacharya, M. (2016). Polymer Nanocomposites—A Comparison between Carbon Nanotubes, Graphene, and Clay as Nanofillers. Materials. https://doi.org/10.3390/ma9040262
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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.
