The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Gas barrier performance of graphene/polymer nanocomposites
Open accessAbstract
Due to its exceptionally outstanding electrical, mechanical and thermal properties, graphene is being explored for a wide array of applications and has attracted enormous academic and industrial interest. Graphene and its derivatives have also been considered as promising nanoscale fillers in gas barrier application of polymer nanocomposites (PNCs). In this review, recent research and development of the utilization of graphene and its derivatives in the fabrication of nanocomposites with different polymer matrices for barrier application are explored. Most synthesis methods of graphene-based PNCs are covered, including solution and melt mixing, in situ polymerization and layer-by-layer process. Graphene layers in polymer matrix are able to produce a tortuous path which works as a barrier structure for gases. A high tortuosity leads to higher barrier properties and lower permeability of PNCs. The influence of the intrinsic properties of these fillers (graphene and its derivatives) and their state of dispersion in polymer matrix on the gas barrier properties of graphene/PNCs are discussed. Analytical modeling aspects of barrier performance of graphene/PNCs are also reviewed in detail. We also discuss and address some of the work on mixed matrix membranes for gas separation.
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Cites
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Cited by
Smith, A. T., LaChance, A. M., Zeng, S., Liu, B., & Sun, L. (2019) · Nano Materials Science · doi:10.1016/j.nanoms.2019.02.004 · Cited by 1,643
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Nano-core effect in nano-engineered cementitious composites
Han, B., Zhang, L., Zeng, S., Dong, S., Yu, X., Yang, R., & Ou, J. (2017) · Composites Part A: Applied Science and Manufacturing · doi:10.1016/j.compositesa.2017.01.008 · Cited by 422
Reactive powder concrete reinforced with nano SiO2-coated TiO2
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Metadata
- Authors
- Cui, Y., Kundalwal, S. I., & Kumar, S.
- Venue
- Carbon
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 98
- Pages
- 313-333
- ISSN
- 0008-6223 (ISSN-L)
- OpenAlex
- W2964225117
- Cited by
- 715
- References
- 6
- FWCI
- 30.88
- Type
- journal article
- Language
- en
- Open access
- green
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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).
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