晶体管
材料科学
光电子学
电解质
纳米技术
电气工程
计算机科学
电压
化学
电极
工程类
物理化学
作者
Wenkui Zhang,Jun Li,Cheng Lian,Wenhui Shi,Yuxing Lei,Shengkai Wen,Fei Wang,Jiewei Jiang,Pan Wen,Jianhua Zhang
标识
DOI:10.1109/ted.2023.3265940
摘要
With the development of information society, the traditional von Neumann-based computing system is facing significant challenges. The search for an intelligent computing system similar to the biological brain would be a very effective solution to the present-day von Neumann bottleneck. Electrolyte-gated transistors (EGTs) have received much attention because they can simulate biological synaptic behavior very effectively. However, large-scale EGTs arrays are still lacking because most of the existing reported EGTs use organic or liquid electrolytes, which poses a significant challenge to the current production methods for manufacturing integration using photolithography. Although synaptic transistor arrays using solid-state electrolytes have the potential for large-scale fabrication, the power consumption required for individual transistors is relatively high. In this work, an electrolyte transistor array ( $10\times10$ ) fabricated by the photolithography process was successfully proposed, where the individual transistors in the array used a composite polyvinyl alcohol (PVA)/lignin electrolyte as the gate dielectric layer. The switching ratio of a single transistor can reach 106, and the maximum gate leakage current is 43.96 pA in the voltage range of −3 to 3 V. In addition, the synaptic properties, such as excitatory postsynaptic current (EPSC) and paired-pulse-facilitation (PPF), were successfully achieved. When the pulse duration is 100 ms, the energy consumption of the transistor is 0.63 nJ. The number's dynamic memory and forgetting functions were also successfully simulated by the artificial synaptic transistor array. This work will provide a useful idea for large-scale array integration of EGTs using organic and liquid electrolytes as gate dielectric layers.
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