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Cited by 396

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

3D nanostructured conductive polymer hydrogels for high-performance electrochemical devices

Zhao, Yu, Liu, Borui, Pan, Lijia, Yu, Guihua·2013·Energy & Environmental Science

Abstract

Conducting polymer hydrogels (CPHs) represent a unique class of materials that synergize the advantageous features of hydrogels and organic conductors and have been used in many applications such as bioelectronics and energy storage devices. This perspective provides a brief overview of current research activities in the field of three-dimensional (3D) nanostructured CPHs for high-performance electrochemical devices. The synthesis methods of conventional conductive polymers (CPs) and hydrogels are outlined with emphasis on newly developed methods for the preparation of 3D nanostructured CPs and CPHs. Following this discussion is an outline of the applications of 3D CPH nanostructures with particular focus on those applications in which nanostructured CPHs are clearly advantageous over their conventional counterparts. Other potential applications of nanostructured CPHs are also discussed in this perspective along with the main challenges and future research directions for this new class of conductive hydrogels.

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Metadata

Authors
Zhao, Y., Liu, B., Pan, L., & Yu, G.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
10
Pages
2856
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2155211394
Cited by
396
References
5
FWCI
26.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 3D nanostructured conductive polymer hydrogels for high-performance electrochemical devices. https://app.cochat.ai/papers/10.1039/c3ee40997j
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Zhao, Y., Liu, B., Pan, L., & Yu, G. (2013). 3D nanostructured conductive polymer hydrogels for high-performance electrochemical devices. Energy & Environmental Science. https://doi.org/10.1039/c3ee40997j

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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.