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首页> 外文期刊>Journal of Applied Physics >Chain of magnetic tunnel junctions as a spintronic memristor
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Chain of magnetic tunnel junctions as a spintronic memristor

机译:磁性隧道结链作为自旋电子忆阻器

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In the context of neuromorphic computation, spintronic memristors are investigated for their use as synaptic weights. In this paper, we propose and experimentally demonstrate a resistive synaptic device based on ten magnetic tunnel junctions (MTJs) connected in a serial configuration. Our device exhibits multiple resistance levels that support its use as a synaptic element. It allows for two operating knobs: external magnetic field and voltage pulses (Spin-Transfer Torque). Moreover, it can be operated in different ways. When varying continuously the amplitude of the voltage pulse and/or the magnetic field, eleven resistance states can be reached. In contrast, if the initial state of the chain is reset between every step, a very large number of levels are reached. Ideally, a total of 2(N) resistance levels could be accessible. This coincides well with the desired analog-like behavior in ideal memristors. Since this device consists of a scalable number of N MTJs, and MTJ technology is continuously optimized and improved, the proposed memristor shows promise as a scalable synapse solution for neuromorphic hardware implementations. Published by AIP Publishing.
机译:在神经形态计算的上下文中,研究了自旋电子忆阻器作为突触权重的用途。在本文中,我们提出并通过实验演示了基于串联配置的十个磁性隧道结(MTJ)的电阻性突触设备。我们的设备展现出多种电阻水平,可支持其用作突触元件。它允许两个操作旋钮:外部磁场和电压脉冲(自旋传递扭矩)。而且,它可以以不同的方式操作。当连续改变电压脉冲和/或磁场的幅度时,可以达到十一个电阻状态。相反,如果在每个步骤之间重置链的初始状态,则会达到非常多的级别。理想情况下,总共可以访问2(N)个电阻级别。这与理想忆阻器中所需的类似模拟的行为非常吻合。由于该设备由可扩展数量的N个MTJ组成,并且MTJ技术得到不断优化和改进,因此所提出的忆阻器有望作为可扩展的神经形态硬件实现的突触解决方案。由AIP Publishing发布。

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