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Coaxial wet-spun yarn supercapacitors for high-energy density and safe wearable electronics.


ABSTRACT: Yarn supercapacitors have great potential in future portable and wearable electronics because of their tiny volume, flexibility and weavability. However, low-energy density limits their development in the area of wearable high-energy density devices. How to enhance their energy densities while retaining their high-power densities is a critical challenge for yarn supercapacitor development. Here we propose a coaxial wet-spinning assembly approach to continuously spin polyelectrolyte-wrapped graphene/carbon nanotube core-sheath fibres, which are used directly as safe electrodes to assembly two-ply yarn supercapacitors. The yarn supercapacitors using liquid and solid electrolytes show ultra-high capacitances of 269 and 177 mF cm(-2) and energy densities of 5.91 and 3.84 ?Wh cm(-2), respectively. A cloth supercapacitor superior to commercial capacitor is further interwoven from two individual 40-cm-long coaxial fibres. The combination of scalable coaxial wet-spinning technology and excellent performance of yarn supercapacitors paves the way to wearable and safe electronics.

SUBMITTER: Kou L 

PROVIDER: S-EPMC4024741 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Coaxial wet-spun yarn supercapacitors for high-energy density and safe wearable electronics.

Kou Liang L   Huang Tieqi T   Zheng Bingna B   Han Yi Y   Zhao Xiaoli X   Gopalsamy Karthikeyan K   Sun Haiyan H   Gao Chao C  

Nature communications 20140502


Yarn supercapacitors have great potential in future portable and wearable electronics because of their tiny volume, flexibility and weavability. However, low-energy density limits their development in the area of wearable high-energy density devices. How to enhance their energy densities while retaining their high-power densities is a critical challenge for yarn supercapacitor development. Here we propose a coaxial wet-spinning assembly approach to continuously spin polyelectrolyte-wrapped graph  ...[more]

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