• 文献标题:   Modular Graphene-Based 3D Covalent Networks: Functional Architectures for Energy Applications
  • 文献类型:   Article
  • 作  者:   ZHANG XY, CIESIELSKI A, RICHARD F, CHEN PK, PRASETYANTO EA, DE COLA L, SAMORI P
  • 作者关键词:  
  • 出版物名称:   SMALL
  • ISSN:   1613-6810 EI 1613-6829
  • 通讯作者地址:   Univ Strasbourg
  • 被引频次:   16
  • DOI:   10.1002/smll.201503677
  • 出版年:   2016

▎ 摘  要

The development of ordered graphene-based materials combining high stability, large surface areas, ability to act as absorbent of relevant chemical species, and solution processability is of significance for energy applications. A poorly explored approach relies on the controlled nanostructuration of graphene into robust and highly ordered 3D networks as a route to further leverage the exceptional properties of this unique material. Here, a simple yet effective and scalable one-step method is reported to prepare graphene-based 3D covalent networks (G3DCNs) with tunable interlayer distance via controlled polymerization of benzidines with graphene oxide at different reaction temperatures under catalyst-and template-free conditions. The reduced form of G3DCNs is used as electrodes in supercapacitors; it reveals a high specific capacitance of 156 F g(-1) at a current density of 1 A g(-1) in a two-electrode configuration and 460 F g(-1) at a current density of 0.5 A g(-1) in a three-electrode configuration, combined with an excellent cycling stability over 5000 cycles. The present study will promote the quantitative understanding of structure-property relationship, for the controlled fabrication of 3D graphene-based multifunctional materials.