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1.福州大学 平板显示技术国家地方联合工程实验室, 福建 福州 350102
2.福建工程学院 微电子技术研究中心, 福建 福州 350108
[ "饶智超(1995-), 男, 福建泰宁人, 硕士研究生, 2018年于厦门理工学院获得学士学位, 主要从事基于有机薄膜晶体管功能器件的研究。E-mail: 630822253@qq.com" ]
[ "张国成(1981-), 男, 湖北监利人, 博士, 副教授, 2020年于福州大学获得博士学位, 主要从事薄膜晶体管的研究。E-mail: zgc@fjut.edu.com" ]
收稿日期:2021-01-30,
修回日期:2021-03-14,
纸质出版日期:2021-08
移动端阅览
饶智超, 汪秀梅, 刘亚倩, 等. 绝缘层等离子处理对有机薄膜晶体管突触性能的影响[J]. 液晶与显示, 2021,36(8):1093-1100.
Zhi-chao RAO, Xiu-mei WANG, Ya-qian LIU, et al. Impact of plasma treatment of dielectric layer on synaptic performance of organic thin film transistors[J]. Chinese journal of liquid crystals and displays, 2021, 36(8): 1093-1100.
饶智超, 汪秀梅, 刘亚倩, 等. 绝缘层等离子处理对有机薄膜晶体管突触性能的影响[J]. 液晶与显示, 2021,36(8):1093-1100. DOI: 10.37188/CJLCD.2021-0029.
Zhi-chao RAO, Xiu-mei WANG, Ya-qian LIU, et al. Impact of plasma treatment of dielectric layer on synaptic performance of organic thin film transistors[J]. Chinese journal of liquid crystals and displays, 2021, 36(8): 1093-1100. DOI: 10.37188/CJLCD.2021-0029.
在冯·诺依曼架构陷入瓶颈的时代背景下,受生物神经启发而演化的人工突触器件获得了广泛关注,加速了人们迈向人工智能时代的脚步。本文通过在P型有机薄膜晶体管(OTFT)绝缘层SiO
2
表面进行等离子处理,探究了界面处理引入羟基对OTFT突触性能的影响。具体对绝缘层不同等离子处理时长的OTFT进行了突触行为的模拟和对比,包括兴奋性后突触后电流(EPSC)、双脉冲易化(PPF)、长程可塑性(LTP)等。突触特性的产生是由于等离子处理给半导体层/绝缘层界面引入的羟基对电子进行了捕获。而随着等离子处理时间的增加,绝缘层表面更多的羟基使得OTFT表现出更强的记忆和保持能力、更高的线性度,更有利于其在类脑学习、神经计算等方面的应用。
Under the background of the bottleneck of
V
on
Neumann architecture
artificial synaptic devices inspired by biological nerve have gained extensive attention to accelerate people's steps towards the era of artificial intelligence. In this study
the effect of hydroxyl group on the synaptic performance of p-type organic thin film transistor (OTFT) is investigated by plasma treatment on the surface of SiO
2
dielectric layer. The synaptic behaviors of OTFTs with different plasma treatment time are simulated and compared
including Excitatory Post-Synaptic Current(EPSC)
Paired Pulse Facilitation(PPF) and Long-term Potentiation(LTP). The generation of synaptic properties is due to the electrons being trapped by the hydroxyl groups introduced into the semiconductor layer/dielectric layer interface by plasma treatment. With the increase of plasma treatment time
more hydroxyl groups on the surface of the dielectric layer make OTFTs exhibit better memory and retention capabilities
and higher linearity
which is more conducive to its application in brain-like learning and neural computing.
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