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Modular Graphene‐Based 3D Covalent Networks: Functional Architectures for Energy Applications
Author(s) -
Zhang Xiaoyan,
Ciesielski Artur,
Richard Fanny,
Chen Pengkun,
Prasetyanto Eko Adi,
De Cola Luisa,
Samorì Paolo
Publication year - 2016
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201503677
Subject(s) - graphene , materials science , supercapacitor , nanotechnology , oxide , fabrication , electrode , capacitance , covalent bond , chemistry , medicine , alternative medicine , organic chemistry , pathology , metallurgy
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.