Resistive switching and synaptic plasticity in HfO2-based memristors with single-layer and bilayer structures

被引:0
|
作者
Duan, Qingxi [1 ]
Xu, Liying [1 ]
Zhu, Jiadi [1 ]
Sun, Xinhao [1 ]
Yang, Yuchao [1 ]
Huang, Ru [1 ]
机构
[1] Peking Univ, Key Lab Microelect Devices & Circuits MOE, Inst Microelect, Beijing 100871, Peoples R China
来源
2018 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC) | 2018年
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
memristor; synaptic plasticity; conducting filament; oxygen vacancy; DEVICE;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Here we report a device size and structure dependent study on the resisitive switching and synaptic plasticity in HfO2-based memristive devices. We found that the on/off ratio of resistive switching constantly increases as device size decreases, and bilayer Pt/TaOx/HfO2/Pt devices generally exhibit more uniform switching characteristics and lower threshold voltages compared with single-layer Pt/HfO2/Pt devices. Long-term potentiation and depression behaviors have been emulated using such bilayer devices, suggesting potential applications for neuromorphic hardware.
引用
收藏
页数:3
相关论文
共 50 条
  • [41] CMOS Compatible Bio-Realistic Implementation with Ag/HfO2-Based Synaptic Nanoelectronics for Artificial Neuromorphic System
    Chen, Lin
    He, Zhen-Yu
    Wang, Tian-Yu
    Dai, Ya-Wei
    Zhu, Hao
    Sun, Qing-Qing
    Zhang, David Wei
    ELECTRONICS, 2018, 7 (06):
  • [42] ?-MnO2 nanorods-based memristors with nonvolatile resistive switching behavior
    Mao, Shuangsuo
    Sun, Bai
    Yang, Yusheng
    Wang, Jiangqiu
    Zhao, Hongbin
    Zhao, Yong
    CERAMICS INTERNATIONAL, 2022, 48 (22) : 32860 - 32866
  • [43] Neuronal dynamics in HfOx/AlOy-based homeothermic synaptic memristors with low-power and homogeneous resistive switching
    Kim, Sungjun
    Chen, Jia
    Chen, Ying-Chen
    Kim, Min-Hwi
    Kim, Hyungjin
    Kwon, Min-Woo
    Hwang, Sungmin
    Ismail, Muhammad
    Li, Yi
    Miao, Xiang-Shui
    Chang, Yao-Feng
    Park, Byung-Gook
    NANOSCALE, 2019, 11 (01) : 237 - 245
  • [44] Enhanced synaptic properties in HfO2-based trilayer memristor by using ZrO2-x oxygen vacancy reservoir layer for neuromorphic computing
    Boynazarov, Turgun
    Lee, Joonbong
    Lee, Hojin
    Lee, Sangwoo
    Chung, Hyunbin
    Ryu, Dae Haa
    Abbas, Haider
    Choi, Taekjib
    JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 227 : 164 - 173
  • [45] Research on electronic synaptic simulation of HfO2-based memristor by embedding Al2O3
    Lin, Jinfu
    Liu, Hongxia
    Wang, Shulong
    NANOTECHNOLOGY, 2024, 35 (01)
  • [46] Improved Resistive Switching with Low-Power Synaptic Behaviors of ZnO/Al2O3 Bilayer Structure
    Mahata, Chandreswar
    Park, Jongmin
    Ismail, Muhammad
    Kim, Dae Hwan
    Kim, Sungjun
    MATERIALS, 2022, 15 (19)
  • [47] Performance enhancement of HfO2-based resistive random-access memory devices using ZnO nanoparticles
    Byun, Jun-Ho
    Ko, Woon-San
    Kim, Ki-Nam
    Lee, Do-Yeon
    Kwon, So-Yeon
    Lee, Hi-Deok
    Lee, Ga-Won
    NANOTECHNOLOGY, 2023, 34 (39)
  • [48] Assessment of the variability of the I-V characteristic of HfO2-based resistive switching devices and its simulation using the quasi-static memdiode model
    Salvador, E.
    Gonzalez, M. B.
    Campabadal, F.
    Martin-Martinez, J.
    Rodriguez, R.
    Miranda, E.
    SOLID-STATE ELECTRONICS, 2023, 206
  • [49] HfO2-Based Memristor as an Artificial Synapse for Neuromorphic Computing with Tri-Layer HfO2/BiFeO3/HfO2 Design
    Peng, Zehui
    Wu, Facai
    Jiang, Li
    Cao, Guangsen
    Jiang, Bei
    Cheng, Gong
    Ke, Shanwu
    Chang, Kuan-Chang
    Li, Lei
    Ye, Cong
    ADVANCED FUNCTIONAL MATERIALS, 2021, 31 (48)
  • [50] Investigation of the Filament Properties in the HfO2-Based Structures Using Conductive Atomic Force Microscopy
    Isaev, A. G.
    Permiakova, O. O.
    Rogozhin, A. E.
    TECHNICAL PHYSICS, 2024, 69 (07) : 1986 - 1993