Mass production of highly-porous graphene for high-performance supercapacitors

Amiri, A. and Shanbedi, M. and Ahmadi, G. and Eshghi, H. and Kazi, S.N. and Chew, B.T. and Savari, M. and Zubir, M.N.M. (2016) Mass production of highly-porous graphene for high-performance supercapacitors. Scientific Reports, 6. p. 32686. ISSN 2045-2322

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Official URL: https://doi.org/10.1038/srep32686

Abstract

This study reports on a facile and economical method for the scalable synthesis of few-layered graphene sheets by the microwave-assisted functionalization. Herein, single-layered and few-layered graphene sheets were produced by dispersion and exfoliation of functionalized graphite in ethylene glycol. Thermal treatment was used to prepare pure graphene without functional groups, and the pure graphene was labeled as thermally-treated graphene (T-GR). The morphological and statistical studies about the distribution of the number of layers showed that more than 90% of the flakes of T-GR had less than two layers and about 84% of T-GR were single-layered. The microwave-assisted exfoliation approach presents us with a possibility for a mass production of graphene at low cost and great potentials in energy storage applications of graphene-based materials. Owing to unique surface chemistry, the T-GR demonstrates an excellent energy storage performance, and the electrochemical capacitance is much higher than that of the other carbon-based nanostructures. The nanoscopic porous morphology of the T-GR-based electrodes made a significant contribution in increasing the BET surface as well as the specific capacitance of graphene. T-GR, with a capacitance of 354.1 Fg-1 at 5 mVs-1 and 264 Fg-1 at 100 mVs-1, exhibits excellent performance as a supercapacitor.

Item Type: Article
Uncontrolled Keywords: Mass production; Highly-porous graphene; High-performance supercapacitors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
T Technology > TP Chemical technology
Divisions: Faculty of Computer Science & Information Technology
Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 16 Nov 2017 05:02
Last Modified: 16 Nov 2017 05:02
URI: http://eprints.um.edu.my/id/eprint/18286

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