中文版 | English
Title

Advanced Functional Composite Materials toward E-Skin for Health Monitoring and Artificial Intelligence

Author
Corresponding AuthorTang,Zhenhua
Publication Years
2022
DOI
Source Title
ISSN
2365-709X
EISSN
2365-709X
Volume8Issue:5
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.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
National Natural Science Foundation of China["51702055","62073084","11904056","11704079"] ; Basic and Applied Basic Research Fund of Guangdong[502220023] ; Basic and Applied Basic Research Fund of Guangzhou[202201010614]
WOS Research Area
Materials Science
WOS Subject
Materials Science, Multidisciplinary
WOS Accession No
WOS:000876163300001
Publisher
Scopus EID
2-s2.0-85141130487
Data Source
Scopus
Citation statistics
Cited Times [WOS]:2
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/411944
DepartmentDepartment of Chemistry
Affiliation
1.School of Physics and Optoelectric Engineering,Guangdong University of Technology,Guangzhou,511400,China
2.Department of Chemistry,South University of Science and Technology of China,Shenzhen,518055,China
3.James Watt School of Engineering,University of Glasgow,Glasgow,G12 8QQ,United Kingdom
Recommended Citation
GB/T 7714
Sun,Qi Jun,Lai,Qin Teng,Tang,Zhenhua,et al. Advanced Functional Composite Materials toward E-Skin for Health Monitoring and Artificial Intelligence[J]. Advanced Materials Technologies,2022,8(5).
APA
Sun,Qi Jun,Lai,Qin Teng,Tang,Zhenhua,Tang,Xin Gui,Zhao,Xin Hua,&Roy,Vellaisamy A.L..(2022).Advanced Functional Composite Materials toward E-Skin for Health Monitoring and Artificial Intelligence.Advanced Materials Technologies,8(5).
MLA
Sun,Qi Jun,et al."Advanced Functional Composite Materials toward E-Skin for Health Monitoring and Artificial Intelligence".Advanced Materials Technologies 8.5(2022).
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