Compact Modeling and Evaluation of Magnetic Skyrmion-Based Racetrack Memory

被引:24
|
作者
Kang, Wang [1 ,2 ]
Zheng, Chentian [3 ,4 ,5 ]
Huang, Yangqi [3 ,4 ,5 ]
Zhang, Xichao [6 ]
Lv, Weifeng [1 ,2 ]
Zhou, Yan [6 ]
Zhao, Weisheng [3 ,4 ,5 ]
机构
[1] Beihang Univ, BDBC, Sch Comp Sci & Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Fert Beijing Res Inst, Beijing 100191, Peoples R China
[3] Sch Elect & Informat Engn, BDBC, Beijing 100191, Peoples R China
[4] Fert Beijing Res Inst, Beijing 100191, Peoples R China
[5] Beihang Univ, Beijing 100191, Peoples R China
[6] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
基金
中国国家自然科学基金;
关键词
Domain wall (DW); magnetic skyrmion; racetrack memory (RM); spintronics; SYMMETRY-BREAKING; MOTION; MULTILAYERS; FILMS;
D O I
10.1109/TED.2017.2656140
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Racetrackmemory (RM) has been considered as one of the most attractive nonvolatile memories in the future advanced computer architectures. Current RM is based on domain wall (DW) motion, which, however, has some intrinsic limitations, such as scalability, density, and energy consumption owing to the physical property of DW. Recently, magnetic skyrmion, one new type of spintronic object, has emerged as an alternative of DW in RM application. The advantageous features of skyrmion, such as nanoscale size, topological stability, as well as ultralow depinning current density, make it promising as an information carrier in the future ultradense, high-speed, and lowpower electronics in addition to RM design. In this paper, we primarily investigate the prospects of the skyrmionbased RM (Sky-RM). We developed a physics-based compact model for Sky-RM electronic design and performance evaluation. Experimentalmaterial parameterswere included and micromagnetic investigations were carried out simultaneously to calibrate the accuracy of the model. Using the developed model, hybrid simulations were performed to evaluate the Sky-RM performance, in comparison with the DW-based RM (DW-RM). Our results show that Sky-RM outperforms DW-RM in terms of storage density and energy efficiency.
引用
收藏
页码:1060 / 1068
页数:9
相关论文
共 50 条
  • [41] Skyrmions-based magnetic racetrack memory
    Liang Xue
    Zhao Li
    Qiu Lei
    Li Shuang
    Ding Li-Hong
    Feng You-Hua
    Zhang Xi-Chao
    Zhou Yan
    Zhao Guo-Ping
    ACTA PHYSICA SINICA, 2018, 67 (13)
  • [42] Skyrmion-based chaotic oscillator driven by a constant current
    Shen, Laichuan
    Shen, Ka
    PHYSICAL REVIEW B, 2024, 109 (01)
  • [43] Sky-TCAM: Low-Power Skyrmion-Based Ternary Content Addressable Memory
    Zhang, Ruifu
    Tang, Chunli
    Sun, Xiaozhen
    Li, Mengyuan
    Jin, Wencan
    Li, Peng
    Cheng, Xiaomin
    Hu, X. Sharon
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2023, 70 (07) : 3517 - 3522
  • [44] SkyLogic-A Proposal for a Skyrmion-Based Logic Device
    Mankalale, Meghna G.
    Zhao, Zhengyang
    Wang, Jian-Ping
    Sapatnekar, Sachin S.
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2019, 66 (04) : 1990 - 1996
  • [45] Programmable skyrmion-based logic gates in a single nanotrack
    Shen, Laichuan
    Zhou, Yan
    Shen, Ka
    PHYSICAL REVIEW B, 2023, 107 (05)
  • [46] Skyrmion-based high-frequency signal generator
    Luo, Shijiang
    Zhang, Yue
    Shen, Maokang
    Ou-Yang, Jun
    Yan, Baiqian
    Yang, Xiaofei
    Chen, Shi
    Zhu, Benpeng
    You, Long
    APPLIED PHYSICS LETTERS, 2017, 110 (11)
  • [47] Skyrmion Racetrack Memory With Random Information Update/Deletion/Insertion
    Zhu, Daoqian
    Kang, Wang
    Li, Sai
    Huang, Yangqi
    Zhang, Xichao
    Zhou, Yan
    Zhao, Weisheng
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2018, 65 (01) : 87 - 95
  • [48] Defect Characterization and Testing of Skyrmion-Based Logic Circuits
    Zhou, Ziqi
    Guin, Ujjwal
    Li, Peng
    Agrawal, Vishwani D.
    2021 IEEE 39TH VLSI TEST SYMPOSIUM (VTS), 2021,
  • [49] Surface acoustic wave controlled skyrmion-based synapse devices
    Chen, Chao
    Lin, Tao
    Niu, Jianteng
    Sun, Yiming
    Yang, Liu
    Kang, Wang
    Lei, Na
    NANOTECHNOLOGY, 2022, 33 (11)
  • [50] Magnetic vortex racetrack memory
    Geng, Liwei D.
    Jin, Yongmei M.
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2017, 423 : 84 - 89