首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Ferroelectric Tunneling Junctions Based on Aluminum Oxide/ Zirconium-Doped Hafnium Oxide for Neuromorphic Computing
  • 本地全文:下载
  • 作者:Hojoon Ryu ; Haonan Wu ; Fubo Rao
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2019
  • 卷号:9
  • 期号:1
  • 页码:1-8
  • DOI:10.1038/s41598-019-56816-x
  • 出版社:Springer Nature
  • 摘要:Ferroelectric tunneling junctions (FTJs) with tunable tunneling electroresistance (TER) are promising for many emerging applications, including non-volatile memories and neurosynaptic computing. One of the key challenges in FTJs is the balance between the polarization value and the tunneling current. In order to achieve a sizable on-current, the thickness of the ferroelectric layer needs to be scaled down below 5 nm. However, the polarization in these ultra-thin ferroelectric layers is very small, which leads to a low tunneling electroresistance (TER) ratio. In this paper, we propose and demonstrate a new type of FTJ based on metal/Al 2 O 3 /Zr-doped HfO 2 /Si structure. The interfacial Al 2 O 3 layer and silicon substrate enable sizable TERs even when the thickness of Zr-doped HfO 2 (HZO) is above 10 nm. We found that F-N tunneling dominates at read voltages and that the polarization switching in HZO can alter the effective tunneling barrier height and tune the tunneling resistance. The FTJ synapses based on Al 2 O 3 /HZO stacks show symmetric potentiation/depression characteristics and widely tunable conductance. We also show that spike-timing-dependent plasticity (STDP) can be harnessed from HZO based FTJs. These novel FTJs will have high potential in non-volatile memories and neural network applications.
国家哲学社会科学文献中心版权所有