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arXiv 2008.06437nlin.CDcond-mat.stat-mechphysics.chem-ph
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熵产在化学混沌中的随机方法

Stochastic approach to entropy production in chemical chaos

Center for Nonlinear Phenomena

Pierre Gaspard

AI总结:

本文提出了一种评估随机反应系统中熵产率的方法,并应用于展现化学混沌特性的复杂反应网络。

摘要:

本文介绍了评估随机反应系统中熵产率的方法。这些方法已被证明与非平衡化学热力学中的已知结果一致。此外,证明了熵产率的时间平均可以分解为从反应式矩阵中获得的循环的贡献,这在随机过程和确定性系统中均成立。这些方法应用于基于Roessler再注射原理构建的复杂反应网络,该网络表现出化学混沌特性。

英文摘要:

Methods are presented to evaluate the entropy production rate in stochastic reactive systems. These methods are shown to be consistent with known results from nonequilibrium chemical thermodynamics. Moreover, it is proved that the time average of the entropy production rate can be decomposed into the contributions of the cycles obtained from the stoichiometric matrix in both stochastic processes and deterministic systems. These methods are applied to a complex reaction network constructed on the basis of Roessler's reinjection principle and featuring chemical chaos.

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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