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
  • [21] A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips
    Lee, Matthew Kay Fei
    Cui, Yingnan
    Somu, Thannirmalai
    Luo, Tao
    Zhou, Jun
    Tang, Wai Teng
    Wong, Weng-Fai
    Goh, Rick Stow Mong
    ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2019, 15 (04)
  • [22] Evaluation of Radiation Effects in RRAM-Based Neuromorphic Computing System for Inference
    Ye, Zhilu
    Liu, Rui
    Taggart, Jennifer L.
    Barnaby, Hugh J.
    Yu, Shimeng
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2019, 66 (01) : 97 - 103
  • [23] RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming
    Li Zhang, Grace
    Zhang, Shuhang
    Li, Hai
    Schlichtmann, Ulf
    2022 25TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD), 2022, : 423 - 428
  • [24] Thermal Induced Retention Degradation of RRAM-based Neuromorphic Computing Chips
    Ma, Awang
    Gao, Bin
    Mou, Xing
    Yao, Peng
    Du, Yiwei
    Tang, Jianshi
    Qian, He
    Wu, Huaqiang
    2023 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM, IRPS, 2023,
  • [25] Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks
    Zhang, Grace Li
    Li, Bing
    Zhu, Ying
    Wang, Tianchen
    Shi, Yiyu
    Yin, Xunzhao
    Zhuo, Cheng
    Gu, Huaxi
    Ho, Tsung-Yi
    Schlichtmann, Ulf
    2021 26TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), 2021, : 853 - 858
  • [26] Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System
    Lv, Hao
    Li, Bing
    Zhang, Lei
    Liu, Cheng
    Wang, Ying
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 42 (05) : 1588 - 1596
  • [27] Organic small molecule-based RRAM for data storage and neuromorphic computing
    Mu, Boyuan
    Hsu, Hsiao-Hsuan
    Kuo, Chi-Ching
    Han, Su-Ting
    Zhou, Ye
    JOURNAL OF MATERIALS CHEMISTRY C, 2020, 8 (37) : 12714 - 12738
  • [28] Nanoscale RRAM-based synaptic electronics: toward a neuromorphic computing device
    Park, Sangsu
    Noh, Jinwoo
    Choo, Myung-lae
    Sheri, Ahmad Muqeem
    Chang, Man
    Kim, Young-Bae
    Kim, Chang Jung
    Jeon, Moongu
    Lee, Byung-Geun
    Lee, Byoung Hun
    Hwang, Hyunsang
    NANOTECHNOLOGY, 2013, 24 (38)
  • [29] EFFICIENT WEIGHT MAPPING SCHEME WITHOUT VERIFICATION FOR RRAM BASED NEUROMORPHIC COMPUTING
    Zhang, Shuanglin
    Wu, Huaqiang
    Gao, Bin
    Qian, He
    2019 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC), 2019,
  • [30] Oxide-based Memory Devices as Artificial Dendrites for Neuromorphic Hardware
    Kumar, Manoj
    Suri, Manan
    2023 IEEE 23RD INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY, NANO, 2023, : 127 - 132