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Cited by 265

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Graphene/polymer composites for energy applications

Sun, Yiqing, Shi, Gaoquan·2013·Journal of Polymer Science Part B: Polymer Physics

Abstract

Graphene has wide potential applications in energy‐related systems, mainly because of its unique atom‐thick two‐dimensional structure, high electrical or thermal conductivity, optical transparency, great mechanical strength, inherent flexibility, and huge specific surface area. For this purpose, graphene materials are frequently blended with polymers to form composites, especially when fabricating flexible devices. Graphene/polymer composites have been explored as electrodes of supercapacitors or lithium ion batteries, counter electrodes of dye‐sensitized solar cells, transparent conducting electrodes and active layers of organic solar cells, catalytic electrodes, and polymer electrolyte membranes of fuel cells. In this review, we summarize the recent advances on the synthesis and applications of graphene/polymer composites for energy applications. The challenges and prospects in this field have also been discussed. © 2012 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys, 2013

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Metadata

Authors
Sun, Y., & Shi, G.
Venue
Journal of Polymer Science Part B: Polymer Physics
Publisher
Wiley
Published
2012-12-10
Volume
51
Issue
4
Pages
231-253
ISSN
  • 0887-6266 (ISSN-L)
  • 1099-0488
OpenAlex
W2101300166
Cited by
265
References
10
FWCI
11.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Graphene/polymer composites for energy applications. https://app.cochat.ai/papers/10.1002/polb.23226
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Sun, Y., & Shi, G. (2013). Graphene/polymer composites for energy applications. Journal of Polymer Science Part B: Polymer Physics. https://doi.org/10.1002/polb.23226

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.