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arXiv 2603.03046cond-mat.mes-hallnlin.CDphysics.app-ph
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磁隧道结中混沌行为的电流控制及热波动效应

Current-control of chaos and effects of thermal fluctuations in magnetic tunnel junctions

Tohoku University(东北大学);Yamagata University(山形大学);The University of Tokyo(东京大学)

Ryo Tatsumi, Shinji Miwa, Hiroaki Matsueda, Takahiro Chiba

AI总结:

本研究通过直流电流偏置控制磁隧道结中混沌磁化动力学,并揭示热波动诱导混沌行为,为类脑计算提供理论基础。

摘要:

我们理论上研究了在热波动作用下,具有垂直磁各向异性磁隧道结(MTJs)中自旋扭矩铁磁共振的混沌行为。基于Landau-Lifshitz-Gilbert方程计算Lyapunov指数,我们证明了一个由单轴磁各向异性与外部磁场组成的双势阱势能的MTJ表现出可通过直流电流偏置控制的混沌磁化动力学。此外,我们发现热波动有助于诱导这些混沌磁化动力学,这可以被视为噪声诱导的混沌。本研究为利用自旋电子器件进行类脑计算提供了基础,并推进了对磁化动力学中热波动与混沌相互作用的理解。

英文摘要:

We theoretically investigate the chaotic behavior of spin-torque ferromagnetic resonance in magnetic tunnel junctions (MTJs) with perpendicular magnetic anisotropy under thermal fluctuations. By calculating the Lyapunov exponent based on the Landau-Lifshitz-Gilbert equation, we demonstrate that an MTJ characterized by a double-well potential, composed of uniaxial magnetic anisotropy and an external magnetic field, exhibits chaotic magnetization dynamics that can be controlled by means of the DC current bias. Furthermore, we find that thermal fluctuations help to induce these chaotic magnetization dynamics, which can be regarded as noise-induced chaos. This research provides a basis for brain-inspired computing using spintronic devices and advances the understanding of the interplay between thermal fluctuations and chaos in magnetization dynamics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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