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首页> 外文期刊>Journal of Physics. Condensed Matter >Entropy production in mesoscopic stochastic thermodynamics: nonequilibrium kinetic cycles driven by chemical potentials, temperatures, and mechanical forces
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Entropy production in mesoscopic stochastic thermodynamics: nonequilibrium kinetic cycles driven by chemical potentials, temperatures, and mechanical forces

机译:介观随机热力学中的熵产生:由化学势,温度和机械力驱动的非平衡动力学循环

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摘要

Nonequilibrium thermodynamics (NET) investigates processes in systems out of global equilibrium. On a mesoscopic level, it provides a statistical dynamic description of various complex phenomena such as chemical reactions, ion transport, diffusion, thermochemical, thermomechanical and mechanochemical fluxes. In the present review, we introduce a mesoscopic stochastic formulation of NET by analyzing entropy production in several simple examples. The fundamental role of nonequilibrium steady-state cycle kinetics is emphasized. The statistical mechanics of Onsager's reciprocal relations in this context is elucidated. Chemomechanical, thermomechanical, and enzyme-catalyzed thermochemical energy transduction processes are discussed. It is argued that mesoscopic stochastic NET in phase space provides a rigorous mathematical basis of fundamental concepts needed for understanding complex processes in chemistry, physics and biology. This theory is also relevant for nanoscale technological advances.
机译:非平衡热力学(NET)研究了系统在全局平衡之外的过程。从介观的角度来看,它提供了各种复杂现象的统计动态描述,例如化学反应,离子迁移,扩散,热化学,热机械和机械化学通量。在本综述中,我们通过分析几个简单示例中的熵产生来介绍NET的介观随机公式。强调了非平衡稳态循环动力学的基本作用。在这种情况下,阐明了昂萨格互惠关系的统计机制。讨论了化学机械,热机械和酶催化的热化学能量转导过程。有人认为相空间中的介观随机NET为理解化学,物理和生物学的复杂过程提供了基本概念的严格数学基础。该理论也与纳米技术的进步有关。

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