Coplanar-Gate Synaptic Transistor Array With Organic Electrolyte Using Lithographic Process

材料科学 电解质 晶体管 光电子学 电容 纳米技术 电压 电气工程 电极 化学 工程类 物理化学
作者
Xuemin Tian,Tingting Zhao,Jun Li,Tongkuai Li,Yuan Li,Xianyang Xue,Wang Zhi-gan,Jianhua Zhang
出处
期刊:IEEE Transactions on Electron Devices [Institute of Electrical and Electronics Engineers]
卷期号:69 (5): 2325-2330 被引量:12
标识
DOI:10.1109/ted.2022.3154668
摘要

The artificial neural networks based on biomimetic synaptic devices attempts to process and memorize information by simulating a human brain. Electrolyte-gated transistors (EGTs) are promising candidates for artificial synaptic devices, due to their large specific capacitance, low operating voltage, and sensitive interfacial properties. Although large-scale EGTs array based on inorganic electrolytes and small-scale EGTs arrays based on organic electrolytes are reported, large-scale EGTs arrays based on organic electrolytes have not yet been focused. In this work, a large-scale EGTs array ( $10\times10$ ) based on coplanar-gate structure using lignin as electrolyte is fabricated. The organic dielectric layer fabricated in the last step can be protected from the damage caused by wet etching, thus providing an opportunity for the application of other organic electrolytes in the large-scale EGTs array. Lignin exhibits good electric performance and is environment-friendly due to its renewable property. The synaptic properties of single transistor in the EGTs array, such as excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and high-pass filtering are realized. The real-time learning and forgetting procedures stimulated by different spike numbers of EGTs array are also demonstrated.
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