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Simulation of coupled spin torque oscillators for pattern recognition

机译:用于模式识别的耦合自旋扭矩振荡器的仿真

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In this paper, we use circuit-level simulations to investigate the synchronization dynamics of spin torque oscillators (STOs) and demonstrate a pattern recognition scheme based on STO dynamics. We perform a sensitivity analysis in order to determine the robustness of the different STO coupling methods, considering parameter variations, such as radius or thickness of STOs. After pointing out the advantages of the cross coupled architecture, we demonstrate a coupling scheme for pattern recognition. Several patterns are encoded in the resistive coupling network and are successfully identified, after the network has been initialized correspondingly. Finally, by extracting the corresponding impulse sensitivity function, we show how an existing analytical phase domain model can be adapted to the STO array. We compare the results of this analytical model with the numerical model of the STO and conclude that they agree well providing thus a fast method for design. Published by AIP Publishing.
机译:在本文中,我们使用电路级仿真来研究自旋扭矩振荡器(STO)的同步动力学,并演示了基于STO动力学的模式识别方案。我们进行敏感性分析,以确定不同STO耦合方法的健壮性,并考虑参数变化,例如STO的半径或厚度。在指出了交叉耦合架构的优点之后,我们演示了一种用于模式识别的耦合方案。在相应地初始化网络之后,在电阻耦合网络中对几种模式进行编码并成功识别。最后,通过提取相应的脉冲灵敏度函数,我们展示了现有的分析相域模型如何可以适用于STO阵列。我们将此分析模型的结果与STO的数值模型进行比较,得出结论,他们一致同意,从而提供了一种快速的设计方法。由AIP Publishing发布。

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