生物电子学
材料科学
压电
纳米纤维
膜
纳米技术
拓扑(电路)
生物传感器
复合材料
工程类
电气工程
生物
遗传学
作者
Boling Lan,Xiao Xiao,Aiden Di Carlo,Weili Deng,Tao Yang,Long Jin,Guo Tian,Yong Ao,Weiqing Yang,Jun Chen
标识
DOI:10.1002/adfm.202207393
摘要
Abstract Electrospun piezoelectric membranes are compelling building blocks for constructing wearable bioelectronics. However, the efficiency of electromechanical conversion over a wide bandwidth is still insufficient due to the restriction between fiber dipole alignment and energy absorption. Topology optimization is a mathematical method that lets us optimize the layout of a system to maximize its performance given a set of boundary conditions and constraints. Here, topological designs as a reinforcement mechanism are developed to enhance the electromechanical response of electrospun piezoelectric membranes. The topologically optimized membranes show a 300% increase in electric output and a 478% increase in frequency response range compared with traditional electrospun membranes. With the optimized piezoelectric membrane design, the developed textile acoustic sensors can capture the human voice for speech recognition with a classification accuracy of up to 100% with the help of deep learning. Because of the universality and superiority of this new topologically optimal design, it represents a milestone in designing electrospun membranes for electromechanical conversion and high‐performance soft bioelectronics.
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