Solution-Processed Graphene/MnO 2 Nanostructured Textiles for High-Performance Electrochemical Capacitors

Guihua Yu, Liangbing Hu, Michael Vosgueritchian, Huiliang Wang, Xing Xie, James R. McDonough, Xu Cui, Yi Cui, Zhenan Bao

Research output: Contribution to journalArticlepeer-review

1179 Scopus citations


Large scale energy storage system with low cost, high power, and long cycle life is crucial for addressing the energy problem when connected with renewable energy production. To realize grid-scale applications of the energy storage devices, there remain several key issues including the development of low-cost, high-performance materials that are environmentally friendly and compatible with low-temperature and large-scale processing. In this report, we demonstrate that solution-exfoliated graphene nanosheets (∼5 nm thickness) can be conformably coated from solution on three-dimensional, porous textiles support structures for high loading of active electrode materials and to facilitate the access of electrolytes to those materials. With further controlled electrodeposition of pseudocapacitive MnO2 nanomaterials, the hybrid graphene/MnO2-based textile yields high-capacitance performance with specific capacitance up to 315 F/g achieved. Moreover, we have successfully fabricated asymmetric electrochemical capacitors with graphene/MnO 2-textile as the positive electrode and single-walled carbon nanotubes (SWNTs)-textile as the negative electrode in an aqueous Na 2SO4 electrolyte solution. These devices exhibit promising characteristics with a maximum power density of 110 kW/kg, an energy density of 12.5 Wh/kg, and excellent cycling performance of ∼95% capacitance retention over 5000 cycles. Such low-cost, high-performance energy textiles based on solution-processed graphene/MnO2 hierarchical nanostructures offer great promise in large-scale energy storage device applications. © 2011 American Chemical Society.
Original languageEnglish (US)
Pages (from-to)2905-2911
Number of pages7
JournalNano Letters
Issue number7
StatePublished - Jul 13 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-11-001-12
Acknowledgements: We thank Dr. Yan Yao and Dr. Hanying Li for their helpful discussion and assistance in some sample characterizations. 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-l1-001-12). X.C. acknowledges the support from Stanford Undergraduate Research Experience Program.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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