The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Graphene/elastomer nanocomposites
Open accessAbstract
In the decade since the first isolation and identification of graphene, the scientific community is still finding ways to utilize its unique properties. The present review deals with the preparation and physicochemical characterization of graphene-based elastomeric nanocomposites. The processing and characterization of graphene and graphene oxide are described in detail, since the presence of such fillers in an elastomeric matrix affects dramatically the properties of the nanocomposite samples. Several preparation routes for the efficient dispersion of graphene in elastomers are then discussed, while aspects such as the interfacial bonding between the filler and the matrix or interactions between the fillers have been thoroughly analysed. Different types of graphene/elastomer nanocomposites are described in terms of their manufacture and properties and it has been shown that depending on the type of graphene employed and the preparation methods, the mechanical, thermal, electrical and barrier properties of the elastomeric matrix can be enhanced due to the presence of graphene, even at relatively-low filler loadings. In most cases, the formation of a filler network can play a major role in the improvement of the overall performance of the material.
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
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Experimental observation of the quantum Hall effect and Berry's phase in graphene
Zhang, Y., Tan, Y.-W., Stormer, H. L., & Kim, P. (2005) · Nature · doi:10.1038/nature04235 · Cited by 13,435
The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
Fine Structure Constant Defines Visual Transparency of Graphene
Nair, R. R., Blake, P., Grigorenko, A. N., Novoselov, K. S., Booth, T. J., Stauber, T., Peres, N. M. R., & Geim, A. K. (2008) · Science · doi:10.1126/science.1156965 · Cited by 9,084
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Reduction of graphene oxide via l -ascorbic acid
Zhang, J., Yang, H., Shen, G., Cheng, P., Zhang, J., & Guo, S. (2010) · Chem. Commun. · doi:10.1039/b917705a · Cited by 2,344
Polymer nanocomposites reinforced by cellulose whiskers
Favier, V., Chanzy, H., & Cavaille, J. Y. (1995) · Macromolecules · doi:10.1021/ma00122a053 · Cited by 1,149
Koerner, H., Price, G., Pearce, N. A., Alexander, M., & Vaia, R. A. (2004) · Nature Materials · doi:10.1038/nmat1059 · Cited by 1,034
Sensitive, High-Strain, High-Rate Bodily Motion Sensors Based on Graphene–Rubber Composites
Boland, C. S., Khan, U., Backes, C., O’Neill, A., McCauley, J., Duane, S., Shanker, R., Liu, Y., Jurewicz, I., Dalton, A. B., et al. (2014) · ACS Nano · doi:10.1021/nn503454h · Cited by 793
Cited by
Mechanisms of mechanical reinforcement by graphene and carbon nanotubes in polymer nanocomposites
Papageorgiou, D. G., Li, Z., Liu, M., Kinloch, I. A., & Young, R. J. (2020) · Nanoscale · doi:10.1039/c9nr06952f · Cited by 423
Self-citationZhang, D., Liu, J., Jiang, C., Liu, A., & Xia, B. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2016.08.085 · Cited by 371
Stephens-Fripp, B., Sencadas, V., Mutlu, R., & Alici, G. (2018) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2018.00179 · Cited by 29
Metadata
- Authors
- Papageorgiou, D. G., Kinloch, I. A., & Young, R. J.
- Venue
- Carbon
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 95
- Pages
- 460-484
- ISSN
- 0008-6223 (ISSN-L)
- OpenAlex
- W1125659260
- Cited by
- 397
- References
- 10
- FWCI
- 22.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Graphene/elastomer nanocomposites. https://app.cochat.ai/papers/10.1016/j.carbon.2015.08.055
- The paper
- Papageorgiou, D. G., Kinloch, I. A., & Young, R. J. (2015). Graphene/elastomer nanocomposites. Carbon. https://doi.org/10.1016/j.carbon.2015.08.055
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.
