The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
A review on synthesis and properties of polymer functionalized graphene
Open accessAbstract
This review highlights the functionalization chemistry of graphene with polymers by both covalent and non-covalent approaches. Due to the strong cohesive interactions graphene platelets agglomerate, causing difficulty to attain its optimum properties. The covalent functionalization is illuminated both from ‘grafting to’ and ‘grafting from’ techniques discussing the merits and demerits of the processes. The controlled free radical polymerization techniques used for this purpose e.g. ATRP, SET–LRP and RAFT etc. are discussed along with the conventional free radical polymerization. We have also noted the various approaches used in non-covalent functionalization e.g. π–π, H-bonding and hydrophobic interactions. These functionalized graphenes show good and stable dispersion facilitating composite formation with commodity plastics enhancing it's mechanical, thermal and conductivity properties. The optoelectronic properties of these functionalized graphene are interesting to fabricate sensors, photovoltaics, supercapacitors etc. A short account of the properties of these modified graphenes is also embodied with an emphasis on different area where future developments are expected.
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Cites
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Cited by
A review on carbon nanotubes and graphene as fillers in reinforced polymer nanocomposites
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Metadata
- Authors
- Layek, R. K., & Nandi, A. K.
- Venue
- Polymer
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 54
- Issue
- 19
- Pages
- 5087-5103
- ISSN
- 0032-3861 (ISSN-L)
- OpenAlex
- W1976680262
- Cited by
- 531
- References
- 126
- FWCI
- 16.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.