摘要翻译：
当液体冷却到低于其熔化温度时，如果避免了结晶，它就会形成玻璃。这种现象被称为玻璃化转变，其特点是在狭窄的温度区间内粘度显著增加约14个数量级。玻璃化转变背后的微观机制仍然知之甚少。然而，最近在识别协同重排区或动力非均质性方面取得了很大进展，即液体中弛豫高度相关的区域。这些区域尺寸的增长现在被认为是粘度增加的驱动机制。最近，人们提出了一种工具来量化这些域的大小。我们将这一工具应用到一系列材料中，研究了异质结构的大小与它们的结构熵之间的关系，即一个相关畴中可访问的态的数目。我们发现，一个给定系统的弛豫时间，除了一个与材料有关的前因子外，是一个相关畴的组态熵的泛函数。结果表明，在玻璃化转变温度下，畴的大小和单位体积的构型熵是反相关的，正如Adam-Gibbs理论所预测的那样。最后，我们利用我们的数据提取了一些定义在随机一级理论框架下的指数，这是一个最新的玻璃化转变定量理论。
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英文标题：
《Dynamically correlated regions and configurational entropy in
  supercooled liquids》
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作者：
Simone Capaccioli, Giancarlo Ruocco, Francesco Zamponi
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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：Disordered Systems and Neural Networks        无序系统与神经网络
分类描述：Glasses and spin glasses; properties of random, aperiodic and quasiperiodic systems; transport in disordered media; localization; phenomena mediated by defects and disorder; neural networks
眼镜和旋转眼镜；随机、非周期和准周期系统的性质；无序介质中的传输；本地化；由缺陷和无序介导的现象；神经网络
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一级分类：Physics        物理学
二级分类：Soft Condensed Matter        软凝聚态物质
分类描述：Membranes, polymers, liquid crystals, glasses, colloids, granular matter
膜，聚合物，液晶，玻璃，胶体，颗粒物质
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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：
  When a liquid is cooled below its melting temperature, if crystallization is avoided, it forms a glass. This phenomenon, called glass transition, is characterized by a marked increase of viscosity, about 14 orders of magnitude, in a narrow temperature interval. The microscopic mechanism behind the glass transition is still poorly understood. However, recently, great advances have been made in the identification of cooperative rearranging regions, or dynamical heterogeneities, i.e. domains of the liquid whose relaxation is highly correlated. The growth of the size of these domains is now believed to be the driving mechanism for the increase of the viscosity. Recently a tool to quantify the size of these domains has been proposed. We apply this tool to a wide class of materials to investigate the correlation between the size of the heterogeneities and their configurational entropy, i.e. the number of states accessible to a correlated domain. We find that the relaxation time of a given system, apart from a material dependent pre-factor, is a universal function of the configurational entropy of a correlated domain. As a consequence, we find that at the glass transition temperature, the size of the domains and the configurational entropy per unit volume are anti-correlated, as originally predicted by the Adam-Gibbs theory. Finally, we use our data to extract some exponents defined in the framework of the Random First Order Theory, a recent quantitative theory of the glass transition.
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PDF链接：
https://arxiv.org/pdf/710.1249