Memory Devices for Flexible and Neuromorphic Device Applications

被引:16
|
作者
Kim, Dongshin [1 ]
Kim, Ik-Jyae [1 ]
Lee, Jang-Sik [1 ]
机构
[1] Pohang Univ Sci & Technol POSTECH, Dept Mat Sci & Engn, Pohang 37673, South Korea
基金
新加坡国家研究基金会;
关键词
2D materials; electrochemical devices; flexible electronics; memory devices; neuromorphic applications; perovskite materials; ORGANOMETAL TRIHALIDE PEROVSKITE; TERM SYNAPTIC PLASTICITY; GRAPHENE OXIDE SYNTHESIS; BLACK PHOSPHORUS; SOL-GEL; ARTIFICIAL SYNAPSES; HALIDE PEROVSKITES; HIGH-CAPACITY; THIN-FILMS; NETWORKS;
D O I
10.1002/aisy.202000206
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, consumer electronics have moved toward data-centric applications due to the development of smart electronic devices. Moreover, electronic devices have become highly portable, wearable, and lightweight. These devices require flexible data storage with high density. Furthermore, with the growing demand for larger memory capacity, faster processing speed, and complex data computation, neuromorphic devices have emerged as the next-generation memory technologies. To meet the needs of next-generation memory devices, memory devices based on emerging materials such as 2D, electrochemical, and perovskite materials are suggested. Herein, the recent progress in emerging materials-based memory devices for flexible and neuromorphic device applications is reviewed. First, the functions and mechanisms of emerging material-based memory devices are described. Second, applications for emerging material-based memory devices are reviewed. Finally, the challenges and prospects for the emerging material-based memory devices are discussed.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Neuromorphic Technology Based on Charge Storage Memory Devices
    Lee, Sung-Tae
    Lim, Suhwan
    Choi, Nagyong
    Bae, Jong-Ho
    Kim, Chul-Heung
    Lee, Soochang
    Lee, Dong Hwan
    Lee, Tackhwi
    Chung, Sungyong
    Park, Byung-Gook
    Lee, Jong-Ho
    2018 IEEE SYMPOSIUM ON VLSI TECHNOLOGY, 2018, : 169 - 170
  • [42] Recent progress in neuromorphic and memory devices based on graphdiyne
    Zhang, Zhi-Cheng
    Chen, Xu-Dong
    Lu, Tong-Bu
    SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, 2023, 24 (01)
  • [43] Si Memristive Devices Applied to Memory and Neuromorphic Circuits
    Jo, Sung Hyun
    Kim, Kuk-Hwan
    Chang, Ting
    Gaba, Siddharth
    Lu, Wei
    2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, 2010, : 13 - 16
  • [44] Memristive Memory Enhancement by Device Miniaturization for Neuromorphic Computing
    Goossens, Anouk S.
    Ahmadi, Majid
    Gupta, Divyanshu
    Bhaduri, Ishitro
    Kooi, Bart J.
    Banerjee, Tamalika
    ADVANCED ELECTRONIC MATERIALS, 2023, 9 (04):
  • [45] A flexible polymer memory device
    Li, Liang
    Ling, Qi-Dan
    Lim, Siew-Lay
    Tan, Yoke-Ping
    Zhu, Chunxiang
    Chan, Daniel Siu Hhung
    Kang, En-Tang
    Neoh, Koon-Gee
    ORGANIC ELECTRONICS, 2007, 8 (04) : 401 - 406
  • [46] Control of half-skyrmion movement for possible applications in memory, logic, and neuromorphic computing prototype devices
    Zhu, Zhaozhao
    Xu, Tiankuo
    Gao, Yang
    Li, Zhuolin
    He, Zhidong
    Wang, Zhan
    Zhao, Tongyun
    Wang, Shouguo
    Cai, Jian-Wang
    Zhang, Ying
    Shen, Baogen
    APPLIED PHYSICS REVIEWS, 2024, 11 (02):
  • [47] Ferroelectric artificial synapse for neuromorphic computing and flexible applications
    Li, Qing-Xuan
    Liu, Yi-Lun
    Cao, Yuan-Yuan
    Wang, Tian-Yu
    Zhu, Hao
    Ji, Li
    Liu, Wen-Jun
    Sun, Qing-Qing
    Zhang, David Wei
    Chen, Lin
    FUNDAMENTAL RESEARCH, 2023, 3 (06): : 960 - 966
  • [48] Multilayer ferromagnetic spintronic devices for neuromorphic computing applications
    Lone, Aijaz H.
    Zou, Xuecui
    Mishra, Kishan K.
    Singaravelu, Venkatesh
    Sbiaa, R.
    Fariborzi, Hossein
    Setti, Gianluca
    NANOSCALE, 2024, 16 (26) : 12431 - 12444
  • [49] Neuromorphic microelectronics from devices to hardware systems and applications
    Schmid, Alexandre
    IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2016, 7 (04): : 468 - 498
  • [50] 2022 roadmap on neuromorphic devices and applications research in China
    Wan, Qing
    Wan, Changjin
    Wu, Huaqiang
    Yang, Yuchao
    Huang, Xiaohe
    Zhou, Peng
    Chen, Lin
    Wang, Tian-Yu
    Li, Yi
    Xue, Kan-Hao
    He, Yu-Hui
    Miao, Xiang-Shui
    Li, Xi
    Xie, Chenchen
    Chen, Houpeng
    Song, Zhitang
    Wang, Hong
    Hao, Yue
    Zhang, Junyao
    Huang, Jia
    Ren, Zheng Yu
    Zhu, Li Qiang
    Du, Jianyu
    Ge, Chen
    Liu, Yang
    Ding, Guanglong
    Zhou, Ye
    Han, Su-Ting
    Wang, Guosheng
    Yu, Xiao
    Chen, Bing
    Chu, Zhufei
    Wang, Lunyao
    Xia, Yinshui
    Mu, Chen
    Lin, Feng
    Chen, Chixiao
    Cheng, Bojun
    Xing, Yannan
    Zeng, Weitao
    Chen, Hong
    Yu, Lei
    Indiveri, Giacomo
    Qiao, Ning
    NEUROMORPHIC COMPUTING AND ENGINEERING, 2022, 2 (04):