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Electrochemical activation of commercial MnO microsized particles for high-performance aqueous zinc-ion batteries

Wang, Jinjin, Wang, Jian-Gan, Liu, Huanyan, You, Zongyuan, Wei, Chunguang, Kang, Feiyu·2019·Journal of Power Sources

Abstract

Abstract Manganese oxides represent a class of promising cathode materials for rechargeable aqueous zinc-ion batteries (ZIBs) due to their high energy density, safety, low cost, eco-friendliness and non-toxicity. However, manganese monooxide (MnO) is considered to be inactive for Zn2+ energy storage. Herein, for the first time, we demonstrate the possible application of commercial MnO microsized particles as cathodes for high performance ZIBs. It is interesting to note that electrochemical activation (or oxidation) is observed during the initial charging process, which leads to the formation of porous layered-type MnO2 nanosheets surrounding the MnO surface. As a result, the activated cathode could deliver a maximum specific capacity of 330 mAh g−1 in ZnSO4 aqueous electrolyte at a current density of 0.1 A g−1. In addition, the underlying energy storage mechanism is systematically investigated. The present work provides a new insight into the electrochemical activation strategy for developing advanced cathodes for high-performance zinc-ion batteries.

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Metadata

Authors
Wang, J., Wang, J.-G., Liu, H., You, Z., Wei, C., & Kang, F.
Venue
Journal of Power Sources
Publisher
Elsevier BV
Published
2019-10
Volume
438
Pages
226951
ISSN
0378-7753 (ISSN-L)
OpenAlex
W2965305990
Cited by
201
References
0
FWCI
9.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrochemical activation of commercial MnO microsized particles for high-performance aqueous zinc-ion batteries. https://app.cochat.ai/papers/10.1016/j.jpowsour.2019.226951
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Wang, J., Wang, J.-G., Liu, H., You, Z., Wei, C., & Kang, F. (2019). Electrochemical activation of commercial MnO microsized particles for high-performance aqueous zinc-ion batteries. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2019.226951

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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