摘要翻译：
我们研究用于模拟非平衡过程的随机过程（例如，拉RNA或拉胶体），因此故意违反详细的平衡。我们认为，通过将不可逆性的信息论测度与非平衡功定理相结合，可以确定抽象动力学所隐含的热物理。这个量度在热力学熵产生的上面有界，因此可以量化随机动力学对现实的建模有多好。我们还用我们的发现来批判稳态热力学中出现的各种模型方法和概念。
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英文标题：
《Reversibility, heat dissipation and the importance of the thermal
  environment in stochastic models of nonequilibrium steady states》
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作者：
R. A. Blythe
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  We examine stochastic processes that are used to model nonequilibrium processes (e.g, pulling RNA or dragging colloids) and so deliberately violate detailed balance. We argue that by combining an information-theoretic measure of irreversibility with nonequilibrium work theorems, the thermal physics implied by abstract dynamics can be determined. This measure is bounded above by thermodynamic entropy production and so may quantify how well a stochastic dynamics models reality. We also use our findings to critique various modeling approaches and notions arising in steady-state thermodynamics.
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PDF链接：
https://arxiv.org/pdf/707.4393