神经形态工程学
突触
材料科学
实现(概率)
薄膜
图层(电子)
钙钛矿(结构)
铁电性
光电子学
纳米技术
计算机科学
人工神经网络
人工智能
神经科学
化学工程
工程类
心理学
统计
电介质
数学
作者
Zhen Zhao,Amr Abdelsamie,Rui Guo,Shu Shi,Jianhui Zhao,Weinan Lin,Kaixuan Sun,Jingjuan Wang,Junling Wang,Xiaobing Yan,Jingsheng Chen
出处
期刊:Nano Research
[Springer Science+Business Media]
日期:2021-09-06
卷期号:15 (3): 2682-2688
被引量:55
标识
DOI:10.1007/s12274-021-3782-4
摘要
Realization of functional flexible artificial synapse is a significant step toward neuromorphic computing. Herein, a flexible artificial synapse based on ferroelectric tunnel junctions (FTJs) is demonstrated, using BiFeO3 (BFO) thin film as the functional layer. The inorganic single crystalline FTJs grown on rigid perovskite substrates at high temperatures are integrated with the flexible plastic substrates, by using the water-soluble Sr3Al2O6 (SAO) as the sacrificial layer and the following transfer. The transferred freestanding BFO thin film exhibits excellent ferroelectric properties. Moreover, the memristive properties and the brain-like synaptic learning performance of the flexible FTJs are investigated. The results show that multilevel resistance states were maintained well of the flexible artificial synapse, together with their stable synaptic learning properties. Our work indicates the promising opportunity of ferroelectric thin film based flexible synapse used in the future neuromorphic computing system.
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