Advanced functional composite materials toward E‐skin for health monitoring and artificial intelligence

Sun, Q.‐J., Lai, Q.‐T., Tang, Z., Tang, X.‐G., Zhao, X.‐H. and Roy, V. A. L. (2022) Advanced functional composite materials toward E‐skin for health monitoring and artificial intelligence. Advanced Materials Technologies, (doi: 10.1002/admt.202201088) (Early Online Publication)

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Abstract

Electronic skin (E-skin), especially the wearable sensors efficiently detect various stimuli attracted huge research interest owing to their potential applications in health monitoring and artificial intelligence. On the other hand, functional polymer composites possessing excellent properties such as light weight, good flexibility, and superior electrical performances, are promising candidates as building blocks for flexible electronics. Accordingly, tremendous efforts are devoted to the development of polymer composites with functional properties for E-skin applications. Here, recent advances on the controlled fabrication of various fillers based functional polymer composites and their diverse applications in E-skin are reviewed. In addition, contemporary studies on fabrication strategies, working mechanisms, and device performance for E-skin based on the functional polymer composites are reviewed, including flexible pressure sensors, strain sensors, temperature sensors, energy harvesters, and transistors. Furthermore, the applications of functional composite based flexible electronics in healthcare and artificial intelligence are discussed. Finally, the existing challenges and opportunities for the functional composite materials based E-skin are summarized.

Item Type:Articles
Additional Information:The authors acknowledge the grant from the National Natural Science Foundation of China (Grant Nos. 51702055, 62073084, 11904056, and 11704079), the Basic and Applied Basic Research Fund of Guangdong (Grant No. 502220023), and the Basic and Applied Basic Research Fund of Guangzhou (Grant No. 202201010614).
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vellaisamy, Professor Roy
Authors: Sun, Q.‐J., Lai, Q.‐T., Tang, Z., Tang, X.‐G., Zhao, X.‐H., and Roy, V. A. L.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Advanced Materials Technologies
Publisher:Wiley
ISSN:2365-709X
ISSN (Online):2365-709X
Published Online:30 October 2022

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