论文标题
了解粗粒模型中的动态:I。通用过剩熵缩放关系
Understanding Dynamics in Coarse-Grained Models: I. Universal Excess Entropy Scaling Relationship
论文作者
论文摘要
粗粒(CG)模型通过降低细粒度(FG)系统的不必要的自由度,同时概括了主要的结构相关性,从而有助于对复杂系统的有效探索。与结构特性不同,由于CG模型的加速动力学,评估CG建模中的动态特性通常是不可行的,从而可以进行更有效的结构采样。因此,本系列文章的最终目标是在FG和CG动力学之间建立更好的对应关系。为了评估和比较FG和相应的CG模型中的动力学特性,我们利用了多余的熵缩放关系。对于本系列的论文I,我们提供了证据表明FG和相应的CG对应物遵循相同的通用缩放关系。通过仔细审查和研究文献,我们开发了一种新理论,以计算FG和CG系统的过剩熵,同时考虑熵的能力。我们证明,在FG和CG分辨率下,都可以轻松地将过量的熵缩放率思想适用于液态水和甲醇系统。对于这两种液体,我们揭示了缩放指数与粗粒过程保持不变,表明对同一基础分子系统的缩放行为是通用的。将此发现与CG模型中映射熵的概念相结合,我们表明缺失的熵在加速CG动力学中起着重要作用。
Coarse-grained (CG) models facilitate an efficient exploration of complex systems by reducing the unnecessary degrees of freedom of the fine-grained (FG) system while recapitulating major structural correlations. Unlike structural properties, assessing dynamic properties in CG modeling is often unfeasible due to the accelerated dynamics of the CG models, which allows for more efficient structural sampling. Therefore, the ultimate goal of the present series of articles is to establish a better correspondence between the FG and CG dynamics. To assess and compare dynamical properties in the FG and the corresponding CG models, we utilize the excess entropy scaling relationship. For Paper I of this series, we provide evidence that the FG and the corresponding CG counterpart follow the same universal scaling relationship. By carefully reviewing and examining the literature, we develop a new theory to calculate excess entropies for the FG and CG systems while accounting for entropy representability. We demonstrate that the excess entropy scaling idea can be readily applied to liquid water and methanol systems at both the FG and CG resolutions. For both liquids, we reveal that the scaling exponents remain unchanged from the coarse-graining process, indicating that the scaling behavior is universal for the same underlying molecular systems. Combining this finding with the concept of mapping entropy in CG models, we show that the missing entropy plays an important role in accelerating the CG dynamics.