4.6 Article

Preparation of three-dimensional nitrogen-doped graphene layers by gas foaming method and its electrochemical capactive behavior

Journal

ELECTROCHIMICA ACTA
Volume 193, Issue -, Pages 293-301

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.electacta.2016.02.048

Keywords

3D graphene layers; nitrogen-doping; gas foaming; organic electrolyte; supercapacitor

Funding

  1. National Natural Science Foundation of China [21273085, 51578556]
  2. Natural Science Foundation of Guangdong Province, China [2015A030313376, 2015A030308005]
  3. Scientific and Technological Plan of Guangdong Province [2014A020216009]
  4. Scientific Research Foundation of Graduate School of South China Normal University [2014ssxm30]

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A porous graphene layers with a three-dimensional structure (3DG) was prepared via a gas foaming method based on a polymeric predecessor. This intimately interconnected 3DG structure not only significantly increases the specific surface area but also provides more channels to facilitate electron transport. In addition, 3D N-doped (3DNG) layers materials were synthesized using melamine as a nitrogen source. The nitrogen content in the 3DNG layers significantly influenced the electrochemical performance. The sample denoted as 3DNG-2 exhibited a specific capacitance of 335.2 F g(-1) at a current density of 1 A g(-1) in a three-electrode system. Additionally, 3DNG-2 exhibited excellent electrochemical performance in aqueous and organic electrolytes using a two-electrode symmetric cell. An energy density of 58.1 Wh kg(-1) at a power density of 2500 W kg(-1) was achieved, which is approximately 3 times that (19.6 Wh kg(-1)) in an aqueous electrolyte in a two-electrode system. After 1000 cycles, the capacity retention in aqueous electrolyte was more than 99.0%, and this retention in organic electrolytes was more than 89.4%, which demonstrated its excellent cycle stability. This performance makes 3DNG-2 a promising candidate as an electrode material in high-power and high-energy supercapacitor applications. (C) 2016 Elsevier Ltd. All rights reserved.

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