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

被引:0
|
作者
Jingchun Jia
Xiang Hu
Zhenhai Wen
机构
[1] Chinese Academy of Sciences,Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Institute of Research on the Structure of Matter
[2] Chinese Academy of Sciences,Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter
来源
Nano Research | 2018年 / 11卷
关键词
network architectures; ultrathin carbon; MnO; Li-ion battery; anode;
D O I
暂无
中图分类号
学科分类号
摘要
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 °C 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.
引用
收藏
页码:1135 / 1145
页数:10
相关论文
共 50 条
  • [1] Robust 3D network architectures of MnO nanoparticles bridged by ultrathin graphitic carbon for high-performance lithium-ion battery anodes
    Jia, Jingchun
    Hu, Xiang
    Wen, Zhenhai
    NANO RESEARCH, 2018, 11 (02) : 1135 - 1145
  • [2] Robust 3D Network binder for Stable and High-Performance Si-Based Lithium-Ion Battery Anodes
    Zhao, Junkai
    Li, Wenhao
    Xie, Mingzhu
    Yang, Kaimeng
    Wei, Daina
    Chen, Zhengjian
    Zhang, Ce
    Wang, Zhaolong
    Yang, Xiaojing
    ADVANCED MATERIALS TECHNOLOGIES, 2023, 8 (13)
  • [3] ZnO-CoO Nanoparticles Encapsulated in 3D Porous Carbon Microspheres for High-performance Lithium-Ion Battery Anodes
    Liu, Lianjun
    Zhao, Cunyu
    Zhao, Huilei
    Zhang, Qianyi
    Li, Ying
    ELECTROCHIMICA ACTA, 2014, 135 : 224 - 231
  • [4] Carbon-Based 3D Architectures as Anodes for Lithium-Ion Battery Systems
    Aslam, Junaid
    Waseem, Muhammad Ahsan
    Zhang, Yifan
    Wang, Yong
    CHEMPLUSCHEM, 2024,
  • [5] Carbon-Based 3D Architectures as Anodes for Lithium-Ion Battery Systems
    Aslam, Junaid
    Waseem, Muhammad Ahsan
    Zhang, Yifan
    Wang, Yong
    CHEMPLUSCHEM, 2024, 89 (12):
  • [6] Ultrathin porous MnO2@C nanosheets for high-performance lithium-ion battery anodes
    Luo, Chengang
    Chen, Yijun
    Tian, Qinghua
    Zhang, Wei
    Sui, Zhuyin
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2023, 930
  • [7] Synthesis of Robust Silicon Nanoparticles@Void@Graphitic Carbon Spheres for High-Performance Lithium-Ion-Battery Anodes
    Ma, Xiaomei
    Gao, Yujie
    Chen, Min
    Wu, Limin
    CHEMELECTROCHEM, 2017, 4 (06): : 1463 - 1469
  • [8] Sb nanoparticles encapsulated into porous carbon matrixes for high-performance lithium-ion battery anodes
    Yi, Zheng
    Han, Qigang
    Zan, Ping
    Wu, Yaoming
    Cheng, Yong
    Wang, Limin
    JOURNAL OF POWER SOURCES, 2016, 331 : 16 - 21
  • [9] MnO nanoparticles embedded in a carbon matrix as high performance lithium-ion battery anodes: preparation, microstructure and electrochemistry
    Ma, Shaojun
    Chen, Dongming
    Wang, Wen-lou
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2016, 18 (28) : 19130 - 19136
  • [10] Synthesis of Structurally Stable 3D MoS2 Architectures as High Performance Lithium-Ion Battery Anodes
    Xu, Zhanwei
    Shen, Xuetao
    Zhang, Qinglin
    Li, Jiayin
    Kong, Luo
    Cao, Liyun
    Huang, Jianfeng
    PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION, 2016, 33 (06) : 311 - 315