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An effective method is designed to construct three-dimensional (3D) Nb2C/reduced graphene oxide (rGO) hybrid aerogels through a low-temperature graphene oxide (GO)-assisted hydrothermal self-assembly followed by freeze-drying and annealing. The intimately coupled Nb2C/rGO hybrid aerogel combines the advantages of large specific surface area and rich 3D interconnected porous structure of aerogel as well as high conductivity and low potassium diffusion energy barrier of Nb2C, which not only effectively prevents the self-restacking of Nb2C nanosheets to allow more active sites exposed and accommodate the volume change during the charge/discharge process, but also increases the accessibility of electrolyte and promotes the rapid transfer of ions/electrons. As a result, Nb2C/rGO-2 as the anode of potassium ion batteries (KIBs) delivers a large reversible specific capacity (301.7 mAh·g−1 after 500 cycles at 2.0 A·g−1), an ultrahigh rate capability (155.5 mAh·g−1 at 20 A·g−1), and an excellent long-term large-current cycle stability (198.8 mAh·g−1 after 1,000 cycles at 10 A·g−1, with a retention of 83.3%). Such a high-level electrochemical performance, especially the ultrahigh rate capability, is the best among transition metal carbides and nitride (MXene)-based materials reported so far for KIBs. The diffusion kinetics of K+ is investigated thoroughly, and the synergetic charge–discharge mechanism and the structure–performance relationship of Nb2C/rGO are revealed explicitly. The present work provides a good strategy to solve the self-restacking problem of two-dimensional materials and also enlarges the potential applications of MXenes.

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Publication history
Copyright
Acknowledgements

Publication history

Received: 06 July 2022
Revised: 21 August 2022
Accepted: 31 August 2022
Published: 14 October 2022
Issue date: February 2023

Copyright

© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

We acknowledge the financial support of the National Natural Science Foundation of China (No. 21773116) and Modern Analysis Center of Nanjing University.

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