铁电性
材料科学
极化(电化学)
焦耳加热
光电子学
铁电电容器
纳米技术
电介质
化学
物理化学
复合材料
作者
Bobo Tian,Ni Zhong,Chun‐Gang Duan
出处
期刊:Chinese Physics B
[IOP Publishing]
日期:2020-07-15
卷期号:29 (9): 097701-097701
被引量:22
标识
DOI:10.1088/1674-1056/aba603
摘要
The multiple ferroelectric polarization tuned by external electric field could be used to simulate the biological synaptic weight. Ferroelectric synaptic devices have two advantages compared with other reported ones: One is the intrinsic switching of ferroelectric domains without invoking of defect migration as in resistive oxides contributes reliable performance in these ferroelectric synapses. Another tremendous advantage is the extremely low energy consumption because the ferroelectric polarization is manipulated by electric field which eliminate the Joule heating by current as in magnetic and phase change memory. Ferroelectric synapses are potential for the construction of low-energy and effective brain-like intelligent networks. Here we summarize recent pioneering work of ferroelectric synapses involving the structure of ferroelectric tunnel junctions (FTJs), ferroelectric diodes (FDs) and ferroelectric field effect transistors (FeFETs), respectively, and shed light on future work needed to accelerate their application for efficient neural network.
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