The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Graphene-based nano composites and their applications. A review
Abstract
The purpose of the current review article is to present a comprehensive understanding regarding pros and cons of graphene related nanocomposites and to find ways in order to improve the performance of nanocomposites with new designs. Nanomaterials including GR are employed in industrial applications such as supercapacitors, biosensors, solar cells, and corrosion studies. The present article has been prepared in three main categories. In the first part, graphene types have been presented, as pristine graphene, graphene oxide and reduced graphene oxide. In the second part, nanocomposites with many graphene, inorganic and polymeric materials such as polymer/GR, activated carbon/GR, metal oxide/GR, metal/graphene and carbon fibre/GR have been investigated in more detail. In the third part, the focus in on the industrial applications of GR nanocomposite, including super capacitors, biosensors, solar cells, and corrosion protection studies.
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Cites
Preparation of Graphitic Oxide
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IOP Conference Series: Materials Science and Engineering
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Nucleic Acid Biosensors: Recent Advances and Perspectives
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Cited by
Few-layer versus mono-layer N-doped graphenes in oxygen reduction reaction
Posudievsky, O. Y., Kozarenko, O. A., Kondratyuk, A. S., Cherepanov, V. V., Karbivskiy, V. L., Koshechko, V. G., & Pokhodenko, V. D. (2022) · Applied Surface Science · doi:10.1016/j.apsusc.2021.152279 · Cited by 14
Metadata
- Authors
- Lawal, A. T.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 141
- Pages
- 111384
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2948247606
- Cited by
- 344
- References
- 84
- FWCI
- 16.41
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
