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典型文献
Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications
文献摘要:
As an indispensable branch of wearable electronics,flexible pres-sure sensors are gaining tremendous attention due to their extensive applications in health monitoring,human-machine interaction,artificial intelligence,the internet of things,and other fields.In recent years,highly flexible and wearable pressure sensors have been developed using various materials/structures and transduction mechanisms.Morphological engineering of sensing materials at the nanometer and micrometer scales is crucial to obtaining superior sensor performance.This review focuses on the rapid development of morphological engineering technologies for flexible pressure sensors.We discuss different architectures and morphological designs of sensing materials to achieve high performance,including high sensitiv-ity,broad working range,stable sensing,low hysteresis,high transparency,and directional or selective sensing.Additionally,the general fabrication techniques are summarized,including self-assembly,patterning,and auxiliary synthesis methods.Furthermore,we present the emerging applications of high-performing microengi-neered pressure sensors in healthcare,smart homes,digital sports,security monitoring,and machine learning-enabled computational sens-ing platform.Finally,the potential challenges and prospects for the future developments of pressure sensors are discussed comprehensively.
文献关键词:
作者姓名:
Zhengya Shi;Lingxian Meng;Xinlei Shi;Hongpeng Li;Juzhong Zhang;Qingqing Sun;Xuying Liu;Jinzhou Chen;Shuiren Liu
作者机构:
School of Materials Science and Engineering,Henan Key Laboratory of Advanced Nylon Materials and Application,Henan Innovation Center for Functional Polymer Membrane Materials,Zhengzhou University,Zhengzhou 450001,People's Republic of China;Wenzhou Institute,University of Chinese Academy of Sciences,Wenzhou 352001,People's Republic of China;School of Mechanical Engineering,Yangzhou University,Yangzhou 225127,People's Republic of China
引用格式:
[1]Zhengya Shi;Lingxian Meng;Xinlei Shi;Hongpeng Li;Juzhong Zhang;Qingqing Sun;Xuying Liu;Jinzhou Chen;Shuiren Liu-.Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications)[J].纳微快报(英文),2022(09):1-48
A类:
microengi
B类:
Morphological,Engineering,Sensing,Materials,Flexible,Pressure,Sensors,Artificial,Intelligence,Applications,indispensable,branch,wearable,electronics,flexible,sensors,gaining,tremendous,attention,due,their,extensive,applications,monitoring,human,machine,interaction,artificial,intelligence,internet,things,other,fields,recent,years,highly,pressure,have,been,developed,using,various,materials,structures,transduction,mechanisms,engineering,sensing,nanometer,micrometer,scales,crucial,obtaining,superior,performance,This,review,focuses,rapid,morphological,technologies,We,different,architectures,designs,achieve,including,sensitiv,broad,working,range,stable,low,hysteresis,transparency,directional,selective,Additionally,general,fabrication,techniques,summarized,self,assembly,patterning,auxiliary,synthesis,methods,Furthermore,present,emerging,performing,neered,healthcare,smart,homes,digital,sports,security,learning,enabled,computational,platform,Finally,potential,challenges,prospects,future,developments,discussed,comprehensively
AB值:
0.660768
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