材料科学
铁磁性
凝聚态物理
国家(计算机科学)
领域(数学分析)
电流(流体)
过渡金属
纳米技术
热力学
物理
计算机科学
算法
数学分析
数学
生物化学
催化作用
化学
作者
Chendi Yang,Yalei Huang,Ke Pei,Xiaoping Long,Liting Yang,Yansheng Luo,Yuxiang Lai,Jincang Zhang,G. Cao,Renchao Che
标识
DOI:10.1002/adma.202311831
摘要
Controlling the multi-state switching is significantly essential for the extensive utilization of 2D ferromagnet in magnetic racetrack memories, topological devices, and neuromorphic computing devices. The development of all-electric functional nanodevices with multi-state switching and a rapid reset remains challenging. Herein, to imitate the potentiation and depression process of biological synapses, a full current strategy is unprecedently established by the controllable resistance-state switching originating from the spin configuration rearrangement of domain wall number modulation in Fe3 GeTe2 . In particular, a strong correlation is uncovered in the reduction of domain wall number with the corresponding resistance decreasing by in-situ Lorentz transmission electron microscopy. Interestingly, the magnetic state is reversed instantly to the multi-domain wall state under a single pulse current with a higher amplitude, attributed to the rapid thermal demagnetization by simulation. Based on the neuromorphic computing system with full-current-driven artificial FGT synapses with multi-state switching, a high accuracy of ∼91% is achieved in the handwriting image recognition pattern. The results identify 2D ferromagnet as an intriguing candidate for future advanced neuromorphic spintronics. This article is protected by copyright. All rights reserved.
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