神经形态工程学
材料科学
兴奋剂
铁电性
光电子学
纳米技术
基质(水族馆)
计算机科学
人工神经网络
人工智能
海洋学
地质学
电介质
作者
Zhenhai Li,Tianyu Wang,Jialin Meng,Hao Zhu,Qingqing Sun,David Wei Zhang,Lin Chen
出处
期刊:Materials horizons
[The Royal Society of Chemistry]
日期:2023-01-01
卷期号:10 (9): 3643-3650
被引量:10
摘要
The HfO2-based ferroelectric tunnel junction has received outstanding attention owing to its high-speed and low-power characteristics. In this work, aluminum-doped HfO2 (HfAlO) ferroelectric thin films are deposited on a muscovite substrate (Mica). We investigate the bending effect on the ferroelectric characteristics of the Au/Ti/HfAlO/Pt/Ti/Mica device. After 1000 bending times, the ferroelectric properties and the fatigue characteristics are largely degraded. The finite element analysis indicates that crack formation is the main reason for the fatigue damage under threshold bending diameters. Moreover, the HfAlO-based ferroelectric synaptic device exhibits excellent performance of neuromorphic computing. The artificial synapse can mimic the paired-pulse facilitation and long-term potentiation/depression of biological synapses. Meanwhile, the accuracy of digit recognition is 88.8%. This research provides a new research idea for the further development of hafnium-based ferroelectric devices.
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