High-mass loading electrodes with exceptional areal capacitance and cycling performance through a hierarchical network of MnO2 nanoflakes and conducting polymer gel
High-mass loading electrodes with exceptional areal capacitance and cycling performance through a hierarchical network of MnO2 nanoflakes and conducting polymer gel
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通过 MnO2 纳米片和导电聚合物凝胶的分层网络实现具有卓越面电容和循环性能的高质量负载电极
DOI:
10.1016/j.jpowsour.2018.12.004
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发表时间:
2019-02
影响因子:
9.2
通讯作者:
Mingqing Chen
中科院分区:
文献类型:
--
作者:
Zhaokun Yang;Jun Ma;Sherif Araby;Dongjian Shi;Weifu Dong;Ting Tang;Mingqing Chen
Engineering electroactive materials onto 3D conductive scaffolds holds promise to the development of high-performance energy storage devices. In comparison with the existing scaffolds made of metals or carbon nanomaterials, we herein report a unique scaffold of 3D nanostructured polyaniline (PANi) network, where MnO2nanoflakes of 10 nm in thickness grow vertically to create a hierarchically structured composite. Through two simple sequential processes, a binder-free electrode with a high areal density of 8.3 mg cm−2(7.3 for MnO2and 1.0 for PANi) is readily fabricated by using a piece of carbon cloth as the current collector. Measured with three-electrode configuration at 5 mV s−1, the network delivers capacitance of 423.7 F g−1, 3516.7 mF cm−2and 106.6 F cm−3, with retention of 98.5% over 10,000 cycles. The high capacitance especially areal capacitance is attributed to the maximum utilization of high-specific area MnO2nanoflakes through efficient electron and ion transfer which is enabled by two intimate interfaces respectively between MnO2and PANi and between PANi and carbon cloth. The superior cycling performance is mainly enabled by the volume-change accommodation of the hierarchically porous network. This composite network would provide a new methodology to maximize the electrochemical performance of metal oxides.
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影响因子:
6.6
作者:
杨兆昆;汤力;叶瑾;施冬健;刘士荣;陈明清
通讯作者:
陈明清
影响因子:
9.1
作者:
杨兆昆;邱爱东;马军;陈明清
通讯作者:
陈明清
影响因子:
6.2
作者:
E. Widjaja;J. Sampanthar
通讯作者:
E. Widjaja;J. Sampanthar
影响因子:
15.1
作者:
Cakici, Murat;Reddy, Kakarla Raghava;Alonso-Marroquin, Fernando
通讯作者:
Alonso-Marroquin, Fernando
影响因子:
3.7
作者:
Devaraj, S.;Munichandraiah, N.
通讯作者:
Munichandraiah, N.