Large-Area Ultrathin Graphene Films by Single-Step Marangoni Self-Assembly for Highly Sensitive Strain Sensing Application

Promoted by the demand for wearable devices, graphene has been proved to be a promising material for potential applications in flexible and highly sensitive strain sensors. However, low sensitivity and complex processing of graphene retard the development toward the practical applications. Here, an...

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Published inAdvanced functional materials Vol. 26; no. 9; pp. 1322 - 1329
Main Authors Li, Xinming, Yang, Tingting, Yang, Yao, Zhu, Jia, Li, Li, Alam, Fakhr E., Li, Xiao, Wang, Kunlin, Cheng, Huanyu, Lin, Cheng-Te, Fang, Ying, Zhu, Hongwei
Format Journal Article
LanguageEnglish
Published Blackwell Publishing Ltd 02.03.2016
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Summary:Promoted by the demand for wearable devices, graphene has been proved to be a promising material for potential applications in flexible and highly sensitive strain sensors. However, low sensitivity and complex processing of graphene retard the development toward the practical applications. Here, an environment‐friendly and cost‐effective method to fabricate large‐area ultrathin graphene films is proposed for highly sensitive flexible strain sensor. The assembled graphene films are derived rapidly at the liquid/air interface by Marangoni effect and the area can be scaled up. These graphene‐based strain sensors exhibit extremely high sensitivity with gauge factor of 1037 at 2% strain, which represents the highest value for graphene platelets at this small deformation so far. This simple fabrication for strain sensors with highly sensitive performance of strain sensor makes it a novel approach to applications in electronic skin, wearable sensors, and health monitoring platforms. An environment‐friendly and cost‐effective method to fabricate large‐area ultrathin graphene films is proposed for highly sensitive flexible strain sensing applications. This simple Marangoni‐effect‐based fabrication makes it a novel approach to applications in electronic skin, wearable sensors, and health monitoring platforms.
Bibliography:istex:214BE4B0AFB57341E5A551F2298CBDDA459C52F5
Department of Engineering Science and Mechanics, College of Engineering, and Materials Research Institute at The Pennsylvania State University
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ArticleID:ADFM201504717
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1616-301X
1616-3028
DOI:10.1002/adfm.201504717