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Nano Research 2018, 11(2): 1135-1145 https://doi.org/10.1007/s12274-017-1732-y
Research Article | Issue | Published: 10 August 2017

Robust 3D network architectures of MnO nanoparticles bridged by ultrathin graphitic carbon for high-performance lithium-ion battery anodes

Show Author's Information Jingchun Jia1,2,  Xiang Hu1,2,  Zhenhai Wen1,2( )
Key Laboratory of Design and Assembly of Functional NanostructuresFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou350002China
Fujian Provincial Key Laboratory of NanomaterialsFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou350002China
Keywords:
anode, MnO, Li-ion battery, network architectures, ultrathin carbon
Cite this article:
Jia J, Hu X, Wen Z. Robust 3D network architectures of MnO nanoparticles bridged by ultrathin graphitic carbon for high-performance lithium-ion battery anodes. Nano Research, 2018, 11(2): 1135-1145. https://doi.org/10.1007/s12274-017-1732-y
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Abstract Full text Electronic supplementary material About this article

A strategy was developed to fabricate a set of MnO@C nanohybrids with MnO nanoparticles (NPs) embedded in an ultrathin three-dimensional (3D) carbon framework for use as anode materials for lithium-ion batteries (LIBs). The 3D carbon frameworks provide MnO NPs with electrical pathways and mechanical robustness, which efficiently improved the reaction kinetics, prevented the MnO from fracturing and agglomerating, and limited the formation of a solid electrolyte interface (SEI) at the MnO–electrolyte interface. Benefitting from the unique 3D framework structure, the MnO/C nanohybrids carbonized at 500 ℃ exhibited a highly reversible specific capacity of 1, 420 mAh·g-1 at 0.2 A·g-1, excellent cycling stability with 98% capacity retention, and enhanced rate performance of 680 mAh·g-1 at 2 A·g-1. The feasibility of the large-scale production of such MnO/C nanohybrids, associated with their outstanding Li-ion storage properties, opens a promising avenue for the development of high-performance anodes for nextgeneration LIBs.


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About this article

Robust 3D network architectures of MnO nanoparticles bridged by ultrathin graphitic carbon for high-performance lithium-ion battery anodes

Show Author's information Jingchun Jia1,2, Xiang Hu1,2, Zhenhai Wen1,2( )
Key Laboratory of Design and Assembly of Functional NanostructuresFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou350002China
Fujian Provincial Key Laboratory of NanomaterialsFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou350002China

Abstract

A strategy was developed to fabricate a set of MnO@C nanohybrids with MnO nanoparticles (NPs) embedded in an ultrathin three-dimensional (3D) carbon framework for use as anode materials for lithium-ion batteries (LIBs). The 3D carbon frameworks provide MnO NPs with electrical pathways and mechanical robustness, which efficiently improved the reaction kinetics, prevented the MnO from fracturing and agglomerating, and limited the formation of a solid electrolyte interface (SEI) at the MnO–electrolyte interface. Benefitting from the unique 3D framework structure, the MnO/C nanohybrids carbonized at 500 ℃ exhibited a highly reversible specific capacity of 1, 420 mAh·g-1 at 0.2 A·g-1, excellent cycling stability with 98% capacity retention, and enhanced rate performance of 680 mAh·g-1 at 2 A·g-1. The feasibility of the large-scale production of such MnO/C nanohybrids, associated with their outstanding Li-ion storage properties, opens a promising avenue for the development of high-performance anodes for nextgeneration LIBs.

Keywords: anode, MnO, Li-ion battery, network architectures, ultrathin carbon

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Publication history
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Acknowledgements

Publication history

Received: 05 May 2017
Revised: 13 June 2017
Accepted: 18 June 2017
Published: 10 August 2017
Issue date: February 2018

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany 2017

Acknowledgements

Acknowledgements

We would like to thank 1000 Plan Professorship for Young Talents, Hundred Talents Program of Chinese Academy of Sciences (CAS), the Fujian Science and Technology Key Project (No. 2016H0043) and Fujian Natural Science Foundation (No. 2017J05030) for financial support.

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