Fixing the Flux: A Dual Approach to Computing Transport Coefficients

IF 1.3 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2024-01-28 DOI:10.1007/s10955-024-03230-x
N. Blassel, G. Stoltz
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Abstract

We present a method to compute transport coefficients in molecular dynamics. Transport coefficients quantify the linear dependencies of fluxes in non-equilibrium systems subject to small external forcings. Whereas standard non-equilibrium approaches fix the forcing and measure the average flux induced in the system driven out of equilibrium, a dual philosophy consists in fixing the value of the flux, and measuring the average magnitude of the forcing needed to induce it. A deterministic version of this approach, named Norton dynamics, was studied in the 1980s by Evans and Morriss. In this work, we introduce a stochastic version of this method, first developing a general formal theory for a broad class of diffusion processes, and then specializing it to underdamped Langevin dynamics, which are commonly used for molecular dynamics simulations. We provide numerical evidence that the stochastic Norton method provides an equivalent measure of the linear response, and in fact demonstrate that this equivalence extends well beyond the linear response regime. This work raises many intriguing questions, both from the theoretical and the numerical perspectives.

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固定流量:计算传输系数的双重方法
我们提出了一种计算分子动力学中输运系数的方法。输运系数量化了非平衡系统中通量的线性依赖关系,该系统受到较小的外部强迫。标准的非平衡方法是固定外力作用并测量非平衡系统中引起的平均通量,而双重理念则是固定通量值并测量引起通量所需的外力作用的平均值。Evans 和 Morriss 在 20 世纪 80 年代研究了这种方法的确定性版本,命名为诺顿动力学。在这项研究中,我们介绍了这种方法的随机版本,首先为一大类扩散过程建立了通用的形式理论,然后将其专门用于分子动力学模拟中常用的欠阻尼朗之文动力学。我们提供的数值证据表明,随机诺顿方法提供了线性响应的等效测量方法,而且事实上证明了这种等效性远远超出了线性响应机制。这项工作从理论和数值角度提出了许多耐人寻味的问题。
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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
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