微磁学的随机热力学

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
Mingnan Ding, Jun Wu, Xiangjun Xing
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引用次数: 0

摘要

在这项工作中,我们研究了微磁系统的随机热力学。我们首先将噪声纳入描述磁矩不可逆和确定性动态的 Landau-Lifshitz (LL) 方程,从而制定微磁系统的随机动力学。由此产生的随机 LL 方程服从详细平衡,这保证了在外部磁场固定的情况下,系统收敛到热力学平衡,熵产生消失,概率电流不消失。然后,我们讨论了轨迹层面和集合层面的各种热力学变量,并进一步建立了热力学第一定律和第二定律。最后,我们建立了克鲁克斯波动定理,并通过数值模拟进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic thermodynamics of micromagnetics
In this work, we study the stochastic thermodynamics of micro-magnetic systems. We first formulate the stochastic dynamics of micro-magnetic systems by incorporating noises into the Landau–Lifshitz (LL) equation, which describes the irreversible and deterministic dynamics of magnetic moments. The resulting stochastic LL equation obeys detailed balance, which guarantees that, with the external field fixed, the system converges to thermodynamic equilibrium with vanishing entropy production and with non-vanishing probability current. We then discuss various thermodynamic variables both at the trajectory level and at the ensemble level, and further establish both the first and the second laws of thermodynamics. Finally, we establish the Crooks fluctuation theorem, 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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