材料科学
电解质
纳米纤维
复合数
电导率
离子液体
离子电导率
聚合物
离子键合
光电子学
聚合物电解质
化学工程
复合材料
纳米技术
离子
电极
有机化学
物理化学
催化作用
化学
工程类
作者
Wenhui Fu,Jun Li,Linkang Li,Dongliang Jiang,Wenqing Zhu,Jianhua Zhang
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2021-07-05
卷期号:32 (40): 405207-405207
被引量:6
标识
DOI:10.1088/1361-6528/ac1132
摘要
With the rapid development of wearable artificial intelligence devices, there is an increasing demand for flexible oxide neuromorphic transistors with the solid electrolytes. To achieve high-performance flexible synaptic transistors, the solid electrolytes should exhibit good mechanical bending characteristics and high ion conductivity. However, the polymer-based electrolytes with good mechanical bending characteristics show poor ion conductivity (10-6-10-7S cm-1), which limits the performance of flexible synaptic transistors. Thus, it is urgent to improve the ion conductivity of the polymer-based electrolytes. In the work, a new strategy of electrospun Li0.33La0.557TiO3nanofibers-enhanced ion transport pathway is proposed to simultaneously improve the mechanical bending and ion conductivity of polyethylene oxide/polyvinylpyrrolidone-based solid electrolytes. The flexible InZnO synaptic transistors with Li0.33La0.557TiO3nanofibers-based solid electrolytes successfully simulated excitatory post-synaptic current, paired-pulse-facilitation, dynamic time filter, nonlinear summation, two-terminal input dynamic integration and logic function. This work is a useful attempt to develop high-performance synaptic transistors.
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