Anisotropic conductive networks for multidimensional sensing. Issue 10 (20th July 2021)

• Record Type: Journal Article
• Authors: Zhang, Fei; Ma, Peng-Cheng; Wang, Jiangxin; Zhang, Qi; Feng, Wei; Zhu, Yanwu; Zheng, Qingbin
• Is Part Of: Materials horizons. Volume 8:Issue 10(2021)
• Page Start: 2615
• Page End: 2653
• Publication Date: 2021-07-20
• Subjects: Materials -- Research -- Periodicals; 543.0284
• DOI: 10.1039/d1mh00615k
• Languages: English
• ISSNs: 2051-6347

Abstract

Abstract : We review the present state and advances of the design and preparation strategies for fabricating multidimensional sensors based on anisotropic conducting networks. Abstract : In the past decade, flexible physical sensors have attracted great attention due to their wide applications in many emerging areas including health-monitoring, human–machine interfaces, smart robots, and entertainment. However, conventional sensors are typically designed to respond to a specific stimulus or a deformation along only one single axis, while directional tracking and accurate monitoring of complex multi-axis stimuli is more critical in practical applications. Multidimensional sensors with distinguishable signals for simultaneous detection of complex postures and movements in multiple directions are highly demanded for the development of wearable electronics. Recently, many efforts have been devoted to the design and fabrication of multidimensional sensors that are capable of distinguishing stimuli from different directions accurately. Benefiting from their unique decoupling mechanisms, anisotropic architectures have been proved to be promising structures for multidimensional sensing. This review summarizes the present state and advances of the design and preparation strategies for fabricating multidimensional sensors based on anisotropic conducting networks. The fabrication strategies of different anisotropic structures, the working mechanism of various types of multidimensional sensing and their corresponding unique applications are presented and discussed. The potential challenges faced by multidimensional sensors are revealed to provide an insightful outlook for the future development.