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Review of MXene electrochemical microsupercapacitors

Open access
Jiang, Qiu, Lei, Yongjiu, Liang, Hanfeng, Xi, Kai, Xia, Chuan, Alshareef, Husam N.·2020·Energy Storage Materials

Abstract

Abstract The rapid development of miniaturized and wearable electronics has stimulated growing needs for compatible miniaturized energy storage components. Owing to their unlimited lifetime and high-power density, miniaturized electrochemical capacitors (microsupercapacitors) are considered to be an attractive solution for the development of these microelectronics, but they often depend on the choice of electrode materials and fabrication protocols for scalable production. Recently, a new family of two-dimensional transition metal carbides, carbonitride and nitrides (referred to as MXenes) has shown great promise in advanced microsupercapacitors with high energy and power densities. This was achieved thanks to the high pseudocapacitance, metallic conductivity and ease of solution processing of MXene. In this review, recent progress on MXene synthesis, microstructure design, and fabrication strategies of MXene microsupercapacitors are discussed, and their electrochemical performance is summarized. Further, we briefly discuss the technical challenges and future directions.

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Metadata

Authors
Jiang, Q., Lei, Y., Liang, H., Xi, K., Xia, C., & Alshareef, H. N.
Venue
Energy Storage Materials
Publisher
Elsevier BV
Published
2020-05
Volume
27
Pages
78-95
ISSN
  • 2405-8289 (ISSN-L)
  • 2405-8297
OpenAlex
W3000432455
Cited by
397
References
4
FWCI
19.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Review of MXene electrochemical microsupercapacitors. https://app.cochat.ai/papers/10.1016/j.ensm.2020.01.018
The paper
Jiang, Q., Lei, Y., Liang, H., Xi, K., Xia, C., & Alshareef, H. N. (2020). Review of MXene electrochemical microsupercapacitors. Energy Storage Materials. https://doi.org/10.1016/j.ensm.2020.01.018

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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.