带有自旋扭矩的微磁随机热力学

IF 2.2 3区 物理与天体物理 Q2 MECHANICS Journal of Statistical Mechanics: Theory and Experiment Pub Date : 2024-08-30 DOI:10.1088/1742-5468/ad6c2d
Mingnan Ding, Jun Wu, Xiangjun Xing
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引用次数: 0

摘要

在这项工作中,我们研究了与自旋电流力矩相互作用的微磁场的随机动力学。我们将之前构建的随机 Landau-Lifshitz 方程扩展到有自旋电流力矩的情况,并验证了详细平衡条件。然后,我们构建了各种热力学量,如功和热,并证明了热力学第二定律。由于自旋力矩的存在和动力学矩阵的不对称性,一种新的熵泵效应显现出来。因此,该系统可以像热引擎一样不断地将热量转化为磁功。最后,我们推导出了泵送熵和总功的联合概率密度函数的波动定理,并通过数值模拟进行了验证。
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Stochastic thermodynamics of micromagnetics with spin torque
In this work, we study the stochastic dynamics of micro-magnetics interacting with a spin-current torque. We extend the previously constructed stochastic Landau–Lifshitz equation to the case with spin-current torque, and verify the conditions of detailed balance. Then we construct various thermodynamics quantities such as work and heat, and prove the second law of thermodynamics. Due to the existence of spin-torque and the asymmetry of the kinetic matrix, a novel effect of entropy pumping shows up. As a consequence, the system may behave as a heat engine which constantly transforms heat into magnetic work. Finally, we derive a fluctuation theorem for the joint probability density function of the pumped entropy and the total work, and verify it using numerical simulations.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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