Enhancing the Supercapacitor Performance of Graphene/MnO 2 Nanostructured Electrodes by Conductive Wrapping

Guihua Yu, Liangbing Hu, Nian Liu, Huiliang Wang, Michael Vosgueritchian, Yuan Yang, Yi Cui, Zhenan Bao

Research output: Contribution to journalArticlepeer-review

1059 Scopus citations

Abstract

MnO2 is considered one of the most promising pseudocapactive materials for high-performance supercapacitors given its high theoretical specific capacitance, low-cost, environmental benignity, and natural abundance. However, MnO2 electrodes often suffer from poor electronic and ionic conductivities, resulting in their limited performance in power density and cycling. Here we developed a "conductive wrapping" method to greatly improve the supercapacitor performance of graphene/MnO2-based nanostructured electrodes. By three-dimensional (3D) conductive wrapping of graphene/MnO2 nanostructures with carbon nanotubes or conducting polymer, specific capacitance of the electrodes (considering total mass of active materials) has substantially increased by ∼20% and ∼45%, respectively, with values as high as ∼380 F/g achieved. Moreover, these ternary composite electrodes have also exhibited excellent cycling performance with >95% capacitance retention over 3000 cycles. This 3D conductive wrapping approach represents an exciting direction for enhancing the device performance of metal oxide-based electrochemical supercapacitors and can be generalized for designing next-generation high-performance energy storage devices. © 2011 American Chemical Society.
Original languageEnglish (US)
Pages (from-to)4438-4442
Number of pages5
JournalNano Letters
Volume11
Issue number10
DOIs
StatePublished - Oct 12 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-I1-001-12
Acknowledgements: Y.C. and Z.B. acknowledge the funding support from the Precourt Institute for Energy at Stanford University. Y.C. also acknowledges the funding support from the King Abdullah University of Science and Technology (KAUST) Investigator Award (No. KUS-I1-001-12).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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