Cobalt-doped MnO2 ultrathin nanosheets with abundant oxygen vacancies supported on functionalized carbon nanofibers for efficient oxygen evolution
Cobalt-doped MnO2 ultrathin nanosheets with abundant oxygen vacancies supported on functionalized carbon nanofibers for efficient oxygen evolution
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功能化碳纳米纤维上具有丰富氧空位的钴掺杂 MnO2 超薄纳米片,可有效析氧
DOI:
10.1016/j.nanoen.2018.10.008
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发表时间:
2018-12
期刊:
影响因子:
17.6
通讯作者:
Wang Guoxiu
中科院分区:
文献类型:
--
作者:
Zhao Yufei;Zhang Jinqiang;Wu Wenjian;Guo Xin;Xiong Pan;Liu Hao;Wang Guoxiu
Developing low-cost and efficient catalysts for oxygen evolution reactions (OER) with both excellent activity and robust stability remains a great challenge. Herein, we report a facile spontaneous redox reaction to grow cobalt-doped MnO2ultrathin nanosheetsin situwith abundant oxygen vacancies vertically aligned on cobalt/nitrogen co-functionalized carbon nanofibers (Co-MnO2|OV) as an efficient OER catalyst. It is confirmed that metallic cobalt plays a critical role in the formation of long and ultrathin MnO2nanosheets during the redox reaction. Furthermore, the cobalt ions doped into MnO2significantly enhance the catalytic activity of MnO2nanosheets. Benefiting from the collaborative advantages of doping strategy, fast charge transfer kinetics and strong synergistic coupling effects, Co-MnO2|OVcomposites exhibit an excellent catalytic activity and a good durability for electrochemical water oxidation, reaching 10 mA cm−2at an overpotential of 279 mV. According to the density functional theory (DFT) calculations, the enhanced catalytic activity mainly originates from a better conductivity and the decreased adsorption energy barrier of OH-on the O sites neighboring the doped Co and oxygen vacancies. Our findings suggest that the control over the structure and composition of the materials can achieve highly efficient oxygen evolution electrocatalysts.
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影响因子:
17.1
作者:
通讯作者:
--
影响因子:
--
作者:
Yufei Zhao;Jinqiang Zhang;Xin Guo;H. Fan;Wenjian Wu;Hao Liu;Guoxiu Wang
通讯作者:
Yufei Zhao;Jinqiang Zhang;Xin Guo;H. Fan;Wenjian Wu;Hao Liu;Guoxiu Wang
影响因子:
18.2
作者:
Chen S;Kang Z;Zhang X;Xie J;Wang H;Shao W;Zheng X;Yan W;Pan B;Xie Y
通讯作者:
Xie Y
影响因子:
16.6
作者:
Lee, Sanghan;Nam, Gyutae;Cui, Yi
通讯作者:
Cui, Yi
影响因子:
32.5
作者:
Baicheng Weng;Fenghua Xu;Changlei Wang;Weiwei Meng;C. Grice;Yanfa Yan
通讯作者:
Baicheng Weng;Fenghua Xu;Changlei Wang;Weiwei Meng;C. Grice;Yanfa Yan