电解质
晶体管
材料科学
离子键合
神经形态工程学
离子
电压
电流密度
光电子学
计算机科学
化学
电极
电气工程
人工神经网络
物理
物理化学
工程类
人工智能
量子力学
有机化学
作者
Chuljun Lee,Wooseok Choi,Myunghoon Kwak,Seyoung Kim,Hyunsang Hwang
摘要
An oxygen-based ionic synaptic transistor (O-IST) is a promising synaptic element for neuromorphic computing. In this study, we demonstrated that the density of the electrolyte plays a key role in achieving excellent synaptic characteristics in an O-IST. In a Pr0.7Ca0.3MnO3-based O-IST, we precisely controlled the density of the HfOx electrolyte and found that a low-density electrolyte could improve the ion mobility. Owing to the improved ion mobility and controlled ion migration, we demonstrated that excellent synaptic characteristics, such as a wide dynamic range, linear weight update, low operating voltage operations, and stable cyclic operation, were achieved. Finally, we confirmed an improved pattern recognition accuracy using an O-IST with an HfOx electrolyte of optimal density.
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