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Issue 48, 2018
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Boosting the energy storage densities of supercapacitors by incorporating N-doped graphene quantum dots into cubic porous carbon

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Abstract

Hierarchical N-doped porous carbon has been prepared by assembling N-doped graphene quantum dots (N-GQDs) onto a carbonized metal–organic framework (cMOF-5) and used as an electrode material for supercapacitors. In this hierarchical composite structure, cMOF-5 provides an effective cubic porous framework with a large specific surface area and good electrical conductivity, while N-GQDs play an important role in enhancing the pseudocapacitive activity and improving the surface wettability of the electrode. Therefore, the N-GQD/cMOF-5 composite electrode material exhibits an outstanding specific capacitance of 780 F g−1 at 10 mV s−1 in a three-electrode system. Moreover, the composite electrode assembled in symmetric supercapacitors also displays a high specific capacitance of 294.1 F g−1 at 0.5 A g−1, excellent rate capacity and remarkable cycling stability with 94.1% of the initial capacitance retained after 5000 cycles at 5 A g−1. When used as the positive electrode, the N-GQD/cMOF-5//AC asymmetric supercapacitor exhibits an energy density of 14.4 W h kg−1 at a power density of 400.6 W kg−1, while the capacitance retention after 5000 cycles reaches 90.1%. The current N-GQD/cMOF-5 composite electrode paves a feasible avenue to improve the capacitive performances of supercapacitors by constructing heteroatom-doped, hierarchically porous carbon architectures.

Graphical abstract: Boosting the energy storage densities of supercapacitors by incorporating N-doped graphene quantum dots into cubic porous carbon

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Publication details

The article was received on 29 Aug 2018, accepted on 16 Nov 2018 and first published on 19 Nov 2018


Article type: Paper
DOI: 10.1039/C8NR06986G
Citation: Nanoscale, 2018,10, 22871-22883
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    Boosting the energy storage densities of supercapacitors by incorporating N-doped graphene quantum dots into cubic porous carbon

    Z. Li, F. Bu, J. Wei, W. Yao, L. Wang, Z. Chen, D. Pan and M. Wu, Nanoscale, 2018, 10, 22871
    DOI: 10.1039/C8NR06986G

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