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Fundamental Insights into Graphene Strain Sensing.
Liu, Mufeng; Li, Zheling; Zhao, Xin; Young, Robert J; Kinloch, Ian A.
Afiliación
  • Liu M; National Graphene Institute/Department of Materials, University of Manchester, Manchester M13 9PL, United Kingdom.
  • Li Z; National Graphene Institute/Department of Materials, University of Manchester, Manchester M13 9PL, United Kingdom.
  • Zhao X; National Graphene Institute/Department of Materials, University of Manchester, Manchester M13 9PL, United Kingdom.
  • Young RJ; BTR New Material Group Co., Ltd., BTR Industrial Park, Xitian, Gongming, Guangming District, 518106 Shenzhen, China.
  • Kinloch IA; National Graphene Institute/Department of Materials, University of Manchester, Manchester M13 9PL, United Kingdom.
Nano Lett ; 21(1): 833-839, 2021 Jan 13.
Article en En | MEDLINE | ID: mdl-33372510
ABSTRACT
Graphene has been studied extensively for use in flexible electronics as ultrasensitive and wide-area strain sensors. Many sensors demonstrated so far rely on graphene networks, such that the spatial resolution is compromised, and they are unable to measure strain variations on a fine scale such as those resulting from substrate/interface failure. In this study, mono-/few-layer graphene are demonstrated to be good candidates for strain sensing with high spatial resolution to evaluate features <100 nm. The fundamentals of strain sensing-interaction with the target-have been discussed to shed light on the sensitivity and durability for future sensor fabrication. The proof-of-concept strain sensors have been shown to be able to monitor different states, e.g., the initiation and evolution, of crazes. The analysis also leads to the evaluation of interfacial energy and realization of high local strain in graphene that is applicable for other 2D materials for ultrasensitive strain sensing and bandgap opening applications.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Nano Lett Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Nano Lett Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido