Oxide-based RRAM materials for neuromorphic computing

被引:0
|
作者
XiaoLiang Hong
Desmond JiaJun Loy
Putu Andhita Dananjaya
Funan Tan
CheeMang Ng
WenSiang Lew
机构
[1] Nanyang Technological University,Division of Physics and Applied Physics, School of Physical and Mathematical Sciences
[2] Nanyang Technological University,School of Electrical and Electronic Engineering
来源
关键词
Resistive Random Access Memory (RRAM); Oxide-based RRAM; Neuromorphic Computation; RRAM Devices; Synaptic Devices;
D O I
暂无
中图分类号
学科分类号
摘要
In this review, a comprehensive survey of different oxide-based resistive random-access memories (RRAMs) for neuromorphic computing is provided. We begin with the history of RRAM development, physical mechanism of conduction, fundamental of neuromorphic computing, followed by a review of a variety of RRAM oxide materials (PCMO, HfOx, TaOx, TiOx, NiOx, etc.) with a focus on their application for neuromorphic computing. Our goal is to give a broad review of oxide-based RRAM materials that can be adapted to neuromorphic computing and to help further ongoing research in the field.
引用
收藏
页码:8720 / 8746
页数:26
相关论文
共 50 条
  • [31] Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications
    Ding, Qingting
    Gong, Tiancheng
    Yu, Jie
    Xu, Xiaoxin
    Li, Xiaoyan
    Lv, Hangbing
    Yang, Jianguo
    Luo, Qing
    Yuan, Peng
    Zhang, Feng
    Liu, Ming
    SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (11)
  • [32] A first-principles study of the interface property in oxide-based RRAM
    Lu, Nianduan
    Ma, Shang
    Chen, Jiezhi
    Zhou, Qian
    Li, Ling
    Liu, Ming
    2021 5TH IEEE ELECTRON DEVICES TECHNOLOGY & MANUFACTURING CONFERENCE (EDTM), 2021,
  • [33] Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications
    Qingting DING
    Tiancheng GONG
    Jie YU
    Xiaoxin XU
    Xiaoyan LI
    Hangbing LV
    Jianguo YANG
    Qing LUO
    Peng YUAN
    Feng ZHANG
    Ming LIU
    ScienceChina(InformationSciences), 2021, 64 (11) : 253 - 254
  • [34] Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications
    Qingting Ding
    Tiancheng Gong
    Jie Yu
    Xiaoxin Xu
    Xiaoyan Li
    Hangbing Lv
    Jianguo Yang
    Qing Luo
    Peng Yuan
    Feng Zhang
    Ming Liu
    Science China Information Sciences, 2021, 64
  • [35] ReSe2-Based RRAM and Circuit-Level Model for Neuromorphic Computing
    Huang, Yifu
    Gu, Yuqian
    Wu, Xiaohan
    Ge, Ruijing
    Chang, Yao-Feng
    Wang, Xiyu
    Zhang, Jiahan
    Akinwande, Deji
    Lee, Jack C.
    FRONTIERS IN NANOTECHNOLOGY, 2021, 3
  • [36] A Hardware Friendly Variation-Tolerant Framework for RRAM-Based Neuromorphic Computing
    Gu, Fang-Yi
    Yang, Cheng-Han
    Lin, Ing-Chao
    Chang, Da-Wei
    Lu, Darsen D.
    Schlichtmann, Ulf
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2024, 71 (12) : 6419 - 6432
  • [37] Evaluation of Single Event Effects in SRAM and RRAM based Neuromorphic Computing System for Inference
    Ye, Zhilu
    Liu, Rui
    Barnaby, Hugh
    Yu, Shimeng
    2019 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS), 2019,
  • [38] A COMPACT MODEL OF ANALOG RRAM FOR NEUROMORPHIC COMPUTING SYSTEM DESIGN
    Zhang, Wenqiang
    Wu, Huaqiang
    Yao, Peng
    Gao, Bin
    Qian, He
    2018 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC), 2018,
  • [39] A review on device requirements of resistive random access memory (RRAM)-based neuromorphic computing
    Yoon, Jeong Hyun
    Song, Young-Woong
    Ham, Wooho
    Park, Jeong-Min
    Kwon, Jang-Yeon
    APL MATERIALS, 2023, 11 (09)
  • [40] Vanadium oxide-based battery materials
    Liang, Fangan
    Zheng, Rong
    Zou, Zhengguang
    Long, Fei
    Zhang, Shuchao
    Zhong, Shenglin
    Jia, Shengkun
    Nong, Jinxia
    Wang, Yunjie
    Song, Lijie
    IONICS, 2024, 30 (11) : 6729 - 6755