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Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications 被引量:9
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作者 Zhengya Shi Lingxian Meng +6 位作者 Xinlei Shi Hongpeng Li Juzhong Zhang Qingqing Sun Xuying liu Jinzhou Chen shuiren liu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2022年第9期1-48,共48页
As an indispensable branch of wearable electronics,flexible pressure sensors are gaining tremendous attention due to their extensive applications in health monitoring,human-machine interaction,artificial intelligence,... As an indispensable branch of wearable electronics,flexible pressure 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 sensitivity,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 microengineered pressure sensors in healthcare,smart homes,digital sports,security monitoring,and machine learning-enabled computational sensing platform.Finally,the potential challenges and prospects for the future developments of pressure sensors are discussed comprehensively. 展开更多
关键词 Flexible pressure sensor Morphological engineering Sensing performance Manufacturing technique Artificial intelligence
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Nacre-inspired MXene-based film for highly sensitive piezoresistive sensing over a broad sensing range
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作者 Gaofeng Wang Lingxian Meng +3 位作者 Xinyi Ji Xuying liu Jiajie Liang shuiren liu 《Bio-Design and Manufacturing》 SCIE EI CAS 2024年第4期463-475,共13页
As the main component of wearable electronic equipment,flexible pressure sensors have attracted wide attention due to their excellent sensitivity and their promise with respect to applications in health monitoring,ele... As the main component of wearable electronic equipment,flexible pressure sensors have attracted wide attention due to their excellent sensitivity and their promise with respect to applications in health monitoring,electronic skin,and human-computer interactions.However,it remains a significant challenge to achieve epidermal sensing over a wide sensing range,with short response/recovery time and featuring seamless conformability to the skin simultaneously.This is critical since the capture of minute electrophysiological signals is important for health care applications.In this paper,we report the preparation of a nacre-like MXene/sodium carboxymethyl cellulose(CMC)nanocomposite film with a“brick-and-mortar”interior structure using a vacuum-induced self-assembly strategy.The synergistic behavior of the MXene“brick”and flexible CMC“mortar”contributes to attenuating interlamellar self-stacking and creates numerous variable conductive pathways on the sensing film.This resulted in a high sensitivity over a broad pressure range(i.e.,0.03-22.37 kPa:162.13 kPa^(-1);22.37-135.71 kPa:127.88 kPa^(-1);135.71-286.49 kPa:100.58 kPa^(-1)).This sensor also has a low detection limit(0.85 Pa),short response/recovery time(8.58 ms/34.34 ms),and good stability(2000 cycles).Furthermore,we deployed pressure sensors to distinguish among tiny particles,various physiological signals of the human body,space arrays,robot motion monitoring,and other related applications to demonstrate their feasibility for a variety of health and motion monitoring use cases. 展开更多
关键词 Flexible pressure sensor MXene Bioinspired Physiological signals Interlayer spacing
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