4.8 Article

Holey graphene/polypyrrole nanoparticle hybrid aerogels with three-dimensional hierarchical porous structure for high performance supercapacitor

期刊

JOURNAL OF POWER SOURCES
卷 317, 期 -, 页码 10-18

出版社

ELSEVIER
DOI: 10.1016/j.jpowsour.2016.03.089

关键词

Holey graphene; Polypyrrole; Hybrid aerogel; Hierarchical porous structure; Nanoparticle size; Capacitive performance

资金

  1. National Natural Science Foundation of China [51172137, 21471093]
  2. Program for Key Science & Technology Innovation Team of Shaanxi Province [2012KCT-21]
  3. 111 Project
  4. Fundamental Research Funds for the Central Universities [GK201301002, GK201501007]

向作者/读者索取更多资源

Holey graphene/polypyrrole hybrid aerogels (HGPAs) with three-dimensional (3D) hierarchical structure have been fabricated by freeze-drying holey graphene/polypyrrole hydrogels, which are assembled by using holey graphene (HG) nanosheets and polypyrrole (PPy) nanoparticles as assembling primitives. The as-prepared HGPAs materials show an interconnected and stable 3D porous network, and PPy nano particles uniformly embedded in the aerogel prevent the restacking of holey graphene (HG) nanosheets. The unique hierarchical porous structure and synergistic effect between PPy nanoparticles and HG nanosheets make HGPA hybrid aerogel electrode with a mass ratio of PPy/HGO = 0.75 exhibits high specific capacitance (418 F g(-1)) at a current density of 0.5 A g(-1), extremely outstanding rate capability (80%) at various current densities from 0.5 to 20 A g(-1) and good cycling performance (74%) after 2000 cycles in 1.0 M KOH aqueous electrolyte. Moreover, the effect of the PPy nanoparticle sizes in HGPAs on their electrochemical properties is also investigated, and PPy nanoparticles with relatively larger sizes are favorable of the good capacitive performance for the obtained electrodes. The facile and efficient preparation method for HGPAs electrodes may be developed for preparing other holey graphene-based hybrid aerogels with structure-controllable nanostructures. (C) 2016 Elsevier B.V. All rights reserved.

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