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Cited by 580

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

Materials Design for Rechargeable Metal-Air Batteries

Open access
Wang, Hao-Fan, Xu, Qiang·2019·Matter

Abstract

Summary In consideration of the growing problems regarding environment and energy, the development of clean and renewable electrochemical energy-storage devices has attracted much attention. Metal-air batteries with ultra-high energy density, including but not limited to Zn-air and Li-air batteries, have shown great potential for future large-scale applications. In this Review, fundamentals on the electrode reactions of metal-air batteries are firstly introduced. Current issues on achieving applicable discharge properties and rechargeability are then presented. In the following sections, the material design strategies of the air electrode, metal electrode, electrolyte, and separator to overcome these issues are summarized. The most widely investigated Zn-air and Li-air batteries are overviewed in detail, while other types of metal-air batteries including Al-air, Mg-air, and Na-air batteries are briefly discussed. Finally, summary and perspectives on the future development of metal-air batteries toward practical applications are provided.

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Crossref · 10.1016/j.matt.2019.05.008

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Metadata

Authors
Wang, H.-F., & Xu, Q.
Venue
Matter
Publisher
Elsevier BV
Published
2019-09
Volume
1
Issue
3
Pages
565-595
ISSN
2590-2385 (ISSN-L)
OpenAlex
W2971678601
Cited by
580
References
119
FWCI
24.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Materials Design for Rechargeable Metal-Air Batteries. https://app.cochat.ai/papers/10.1016/j.matt.2019.05.008
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Wang, H.-F., & Xu, Q. (2019). Materials Design for Rechargeable Metal-Air Batteries. Matter. https://doi.org/10.1016/j.matt.2019.05.008

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.