压力传感器
声学
计算机科学
可穿戴计算机
工程类
材料科学
噪音(视频)
物理
过程(计算)
压力测量
作者
Bian Wang,Kang Chen,Jiahao Niu,Bo Zhang,Qi Lu,Wei Yu,Chengxin Zhao,Chengkun Dong,Yi Ni,Yu-Ying Xiao
标识
DOI:10.1021/acsaelm.6c01060
摘要
Abstract Iontronic pressure sensors (IPSs) have attracted considerable attention for low-pressure detection owing to the large interfacial capacitance generated by electrical double-layer (EDL) formation. However, the inherent wettability of ionic media often causes the device to form a relatively high initial capacitance (C0) under pressure-free conditions, which limits the achievable sensitivity. Herein, a hierarchical fibrous network strategy was proposed to regulate C0 and activate pressure-triggered EDL reconstruction. C0 was effectively reduced by limiting the initial ionic medium/electrode contact area, while pressure-induced pore compression enlarges the effective interfacial area and rapidly enhances EDL capacitance. Thus, a flexible pressure sensor composed of a PVDF-HFP nanofiber membrane and ionogel (PNMI) was ultimately developed with an ultrahigh sensitivity of 179.44 kPa–1 over 0–15 kPa. Thus, it enabled accurate pressure signal detection. Assisted by random forest, a highly accurate recognition of seven voice commands was achieved, with an accuracy of 98.5%, demonstrating its potential for wearable human–machine interfaces.
科研通智能强力驱动
Strongly Powered by AbleSci AI