Issue 24, 2017, Issue in Progress

Synthesis of a hierarchical nanoporous carbon material with controllable pore size and effective surface area for high-performance electrochemical capacitors

Abstract

A simple carbonization procedure is proposed for the synthesis of hierarchical nanoporous carbons with controllable pore size and effective surface area as electrode materials for high-performance electrochemical double-layer capacitors. The procedure is based on the carbonization of interpenetrating polymer networks (IPNs) composed of cross-linked polystyrene (PS) and poly(methyl methacrylate) (PMMA). The as-obtained hierarchical nanoporous carbons (HNC-IPNs) have controllable pore size, interconnected pore structure, high specific surface area, excellent electrical conductivity and electrochemical stability with the different mass ratio of PS/PMMA. In addition, there is authentically an excellent linear relationship between effective specific surface area (E-SSA) and specific capacitance. Especially, the HNC-IPN-4 exhibits the highest specific surface area (SSA) of 1346 m2 g−1, relative high E-SSA of 603 m2 g−1, and excellent specific capacitance of 260 F g−1 under the current density of 0.5 A g−1 in 6 M KOH. Meanwhile, the HNC-IPN-4 exhibits a superior cycling performance without any degradation after 10 000 cycles with the current density of 2 A g−1 as well as exhibits high capacitance retention, i.e., 96.0% of the initial specific capacitance after 20 000 cycles.

Graphical abstract: Synthesis of a hierarchical nanoporous carbon material with controllable pore size and effective surface area for high-performance electrochemical capacitors

Supplementary files

Article information

Article type
Paper
Submitted
25 Jan 2017
Accepted
20 Feb 2017
First published
06 Mar 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 14516-14527

Synthesis of a hierarchical nanoporous carbon material with controllable pore size and effective surface area for high-performance electrochemical capacitors

B. Hu, L. Kong, L. Kang, K. Yan, T. Zhang, K. Li and Y. Luo, RSC Adv., 2017, 7, 14516 DOI: 10.1039/C7RA01151B

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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