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Towards Flexible Transparent Electrodes Based on Carbon and Metallic Materials
Open AccessArticle

Wrinkled Graphene–AgNWs Hybrid Electrodes for Smart Window

Creative Research Initiative Centre for Functionally Antagonistic Nano-Engineering, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
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Micromachines 2017, 8(2), 43; https://doi.org/10.3390/mi8020043
Received: 31 December 2016 / Accepted: 26 January 2017 / Published: 1 February 2017
(This article belongs to the Special Issue Flexible and Stretchable Electronics)
Over the past few years, there has been an increasing demand for stretchable electrodes for flexible and soft electronic devices. An electrode in such devices requires special functionalities to be twisted, bent, stretched, and deformed into variable shapes and also will need to have the capacity to be restored to the original state. In this study, we report uni- or bi-axially wrinkled graphene–silver nanowire hybrid electrodes comprised of chemical vapor deposition (CVD)-grown graphene and silver nanowires. A CVD-grown graphene on a Cu-foil was transferred onto a biaxially pre-strained elastomer substrate and silver nanowires were sprayed on the transferred graphene surface. The pre-strained film was relaxed uni-(or bi-)axially to produce a wrinkled structure. The bi-axially wrinkled graphene and silver nanowires hybrid electrodes were very suitable for high actuating performance of electro-active dielectric elastomers compared with the wrinkle-free case. Present results show that the optical transparency of the highly stretchable electrode can be successfully tuned by modulating input voltages. View Full-Text
Keywords: graphene; silver-nanowires; wrinkles; elastomer actuators; tunable transparency graphene; silver-nanowires; wrinkles; elastomer actuators; tunable transparency
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MDPI and ACS Style

Jun, K.-W.; Kim, J.-N.; Jung, J.-Y.; Oh, I.-K. Wrinkled Graphene–AgNWs Hybrid Electrodes for Smart Window. Micromachines 2017, 8, 43.

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