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Cited by 215

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Redox-Enhanced Electrochemical Capacitors: Status, Opportunity, and Best Practices for Performance Evaluation

Evanko, Brian, Boettcher, Shannon W., Yoo, Seung Joon, Stucky, Galen D.·2017·ACS Energy Letters

Abstract

Redox-enhanced electrochemical capacitors (redox ECs) are a class of augmented electric double-layer capacitors utilizing reversible redox reactions of soluble redox couples in the electrolyte. These systems offer increased energy density, efficient power delivery, and simple construction. In this Perspective, we provide an overview of the emerging field of redox ECs, including the current status, advantages, and outstanding problems confronting their development. Our discussion is primarily focused on operating mechanisms and how they affect performance. We also provide a perspective on the advantage of dual-redox ECs and how to improve them based on fundamental design principles including self-discharge suppression strategies. Finally, we comment on best practices for device characterization, suggest performance-reporting protocols for redox ECs, and examine future directions for the field.

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Metadata

Authors
Evanko, B., Boettcher, S. W., Yoo, S. J., & Stucky, G. D.
Venue
ACS Energy Letters
Published
2017-10-20
Volume
2
Issue
11
Pages
2581-2590
ISSN
2380-8195 (ISSN-L)
OpenAlex
W2762419345
Cited by
215
References
2
FWCI
5.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Redox-Enhanced Electrochemical Capacitors: Status, Opportunity, and Best Practices for Performance Evaluation. https://app.cochat.ai/papers/10.1021/acsenergylett.7b00828
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Evanko, B., Boettcher, S. W., Yoo, S. J., & Stucky, G. D. (2017). Redox-Enhanced Electrochemical Capacitors: Status, Opportunity, and Best Practices for Performance Evaluation. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.7b00828

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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.