Jump to main content
Jump to site search

Issue 5, 2018
Previous Article Next Article

A self-assembly route to porous polyaniline/reduced graphene oxide composite materials with molecular-level uniformity for high-performance supercapacitors

Author affiliations

Abstract

Polyaniline/graphene composites constitute an important class of electrode materials for supercapacitors. In this paper, we designed a new self-assembly method for preparing polyaniline/reduced graphene oxide three-dimensional porous composite gels with molecular-level uniformity even at a very high PANI content (>80%). The method involves two successive self-assembly processes, namely, two-dimensional assembly of polyaniline on graphene oxide sheets in a water/N-methyl-2-pyrrolidone blend solvent, and three-dimensional reduction-assembly of the obtained polyaniline/graphene oxide composite sheets. The prepared polyaniline/reduced graphene oxide composite gels possess a three-dimensional porous network composed of reduced graphene oxide sheets, which are covered by polyaniline molecules with controlled content. Because of this favorable microstructure, the composite shows a high specific capacitance of 808 F g−1 (5717 mF cm−2) at a current density of 53.33 A g−1 (377.4 mA cm−2), as well as excellent rate performance. These results demonstrate that two-step self-assembly is a promising method for precisely controlling the microstructure of reduced graphene oxide based composite electrode materials.

Graphical abstract: A self-assembly route to porous polyaniline/reduced graphene oxide composite materials with molecular-level uniformity for high-performance supercapacitors

Back to tab navigation

Supplementary files

Article information


Submitted
09 Jan 2018
Accepted
13 Mar 2018
First published
13 Mar 2018

Energy Environ. Sci., 2018,11, 1280-1286
Article type
Paper

A self-assembly route to porous polyaniline/reduced graphene oxide composite materials with molecular-level uniformity for high-performance supercapacitors

J. Wu, Q. Zhang, J. Wang, X. Huang and H. Bai, Energy Environ. Sci., 2018, 11, 1280
DOI: 10.1039/C8EE00078F

Social activity

Search articles by author

Spotlight

Advertisements