声学
振动
信号(编程语言)
声传感器
材料科学
计算机科学
物理
程序设计语言
作者
Yan Wang,Wei‐Qiang Liao,X.M. Yang,Kexin Wang,Sheng Wan Yuan,Lei Zhu,Cheng Liu,So Yung Yang,Li Wang
出处
期刊:Nanoscale
[The Royal Society of Chemistry]
日期:2024-01-01
摘要
Wearable verbal language servers function as sophisticated and effective tools for fostering intelligent interactions between humans and machines. In the realm of collecting acoustic vibration signals, flexible iontronic pressure sensors have demonstrated their efficacy by incorporating microstructures into the functional layer, resulting in heightened pressure sensitivity. However, the substantial viscosity of the integrated iontronic materials or the lack of bonding at the heterogeneous interface emerges as a significant hindrance to capacitance recovery, leading to sluggish response speeds and mechanical instability. Here, we address the issue by introducing hydrogen bonding between naturally microstructured protein micro-fibers and hydrophilic ionic hydrogel into the dielectric layer. Due to the good resilience of protein micro-fibers and the enahnced interfacial bonding, this flexible vibration sensor demonstrates outstanding performance characteristics, featuring exceptional signal stability, a high-pressure resolution of 522 pF kPa
科研通智能强力驱动
Strongly Powered by AbleSci AI