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Cited by 499

The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.

Perspectives for Polymer Electrolytes: A View from Fundamentals of Ionic Conductivity

Open access
Bocharova, V., Sokolov, A. P.·2020·Macromolecules

Abstract

We present a brief overview of current developments in the field of polymer electrolytes, with the focus on single-ion conducting polymers. The latter have significant advantages relative to electrolytes with dual-ion conductivity for use in energy storage devices. First we discuss various mechanisms of ionic conductivity in polymers and fundamental limitations imposed by these mechanisms. We also emphasize the role of ion–ion correlations in conductivity that are not negligible in concentrated and semidilute ionic systems. Next we discuss several classes of polymer electrolytes (gels, block copolymers, and composites) that are already employed or have good potential to be employed in current battery technologies. At the end we discuss perspectives for the design of dry single-ion conducting polymer electrolytes with required room temperature conductivity.

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Crossref · 10.1021/acs.macromol.9b02742

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Metadata

Authors
Bocharova, V., & Sokolov, A. P.
Venue
Macromolecules
Published
2020-04-27
Volume
53
Issue
11
Pages
4141-4157
ISSN
  • 0024-9297 (ISSN-L)
  • 1520-5835
OpenAlex
W3020702954
Cited by
499
References
112
FWCI
17.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Perspectives for Polymer Electrolytes: A View from Fundamentals of Ionic Conductivity. https://app.cochat.ai/papers/10.1021/acs.macromol.9b02742
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Bocharova, V., & Sokolov, A. P. (2020). Perspectives for Polymer Electrolytes: A View from Fundamentals of Ionic Conductivity. Macromolecules. https://doi.org/10.1021/acs.macromol.9b02742

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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.