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The relationship of dynamical heterogeneity to the Adam-Gibbs and random first-order transition theories of glass formation

机译:动态异质性与亚当-吉布斯和玻璃形成的随机一阶跃迁理论的关系

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摘要

We carefully examine common measures of dynamical heterogeneity for a model polymer melt and test how these scales compare with those hypothesized by the Adam and Gibbs (AG) and random first-order transition (RFOT) theories of relaxation in glass-forming liquids. To this end, we first analyze clusters of highly mobile particles, the string-like collective motion of these mobile particles, and clusters of relative low mobility. We show that the time scale of the high-mobility clusters and strings is associated with a diffusive time scale, while the low-mobility particles' time scale relates to a structural relaxation time. The difference of the characteristic times for the high- and low-mobility particles naturally explains the well-known decoupling of diffusion and structural relaxation time scales. Despite the inherent difference of dynamics between high- and low-mobility particles, we find a high degree of similarity in the geometrical structure of these particle clusters. In particular, we show that the fractal dimensions of these clusters are consistent with those of swollen branched polymers or branched polymers with screened excluded-volume interactions, corresponding to lattice animals and percolation clusters, respectively. In contrast, the fractal dimension of the strings crosses over from that of self-avoiding walks for small strings, to simple random walks for longer, more strongly interacting, strings, corresponding to flexible polymers with screened excluded-volume interactions. We examine the appropriateness of identifying the size scales of either mobile particle clusters or strings with the size of cooperatively rearranging regions (CRR) in the AG and RFOT theories. We find that the string size appears to be the most consistent measure of CRR for both the AG and RFOT models. Identifying strings or clusters with the “mosaic” length of the RFOT model relaxes the conventional assumption that the “entropic droplets” are compact. We also confirm the validity of the entropy formulation of the AG theory, constraining the exponent values of the RFOT theory. This constraint, together with the analysis of size scales, enables us to estimate the characteristic exponents of RFOT.
机译:我们仔细检查了模型聚合物熔体动力学非均质性的常用量度,并测试了这些量度如何与亚当和吉布斯(AG)和玻璃形成液体中的弛豫的随机一阶跃迁理论(RFOT)假设的量度进行比较。为此,我们首先分析高移动性粒子的簇,这些移动性粒子的弦状集体运动以及相对低迁移率的簇。我们表明,高迁移率簇和弦的时间尺度与扩散时间尺度有关,而低迁移率颗粒的时间尺度与结构弛豫时间有关。高迁移率和低迁移率粒子的特征时间之差自然可以解释众所周知的扩散和结构弛豫时间尺度的解耦。尽管高迁移率和低迁移率粒子之间存在固有的动力学差异,但我们发现这些粒子簇的几何结构具有高度相似性。特别是,我们表明这些簇的分形维数与溶胀的支链聚合物或具有筛选的排除体积相互作用的支链聚合物的分形维数一致,分别对应于晶格动物和渗滤簇。相比之下,细线的分形维数从小字符串的自动规避走线过渡到较长,相互作用更强的细线的简单随机游走,对应于具有筛选的排除体积相互作用的柔性聚合物。我们研究了用AG和RFOT理论中的可协作重排区域(CRR)的大小来确定移动粒子簇或字符串的大小尺度的适当性。我们发现,对于AG和RFOT模型,字符串大小似乎是CRR的最一致度量。通过RFOT模型的“马赛克”长度来识别字符串或簇,可以放松“熵液滴”紧凑的传统假设。我们还证实了AG理论的熵公式的有效性,从而限制了RFOT理论的指数值。这种限制以及对规模的分析使我们能够估计RFOT的特征指数。

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