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Mesoscopic coarse-grained representations of fluids rigorously derived from atomistic models

机译:媒介学粗粒的含量严格地衍生原子模型

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摘要

Mesoscopic models are widely used to study complex organization and transport phenomena in chemical and biological systems. Defining a rigorous procedure by which a mesoscopic coarse-grained (CG) representation for a fluid can be constructed from an atomistic fine-grained (FG) model is a long-standing question in the field. The connection of these CG models with the FG level of description, which might be built by CG mappings from the FG model, is often unclear. The present paper introduces a new CG mapping scheme that uses dynamically self-consistent smooth centroidal Voronoi tessellation to address this challenging problem. The new mapping scheme is applied to the coarse-graining of supercritical Lennard-Jones fluid systems at different CG resolutions under both quiescent conditions and non-equilibrium shear flow. The method generates continuous, stable, and ergodic CG trajectories and quantitatively captures the slow collective motions of the underlying FG fluids. A parameterization of the CG models from the mapped CG trajectory is then developed based on the Mori-Zwanzig formalism. The Generalized Langevin Equation describes the dynamics of CG variables, and the parameterized result is shown to reproduce the structural and dynamical correlations of the CG system. The new dynamical mapping scheme and the parameterization protocol open up an avenue for direct bottom-up construction of mesoscopic models of fluids in a Lagrangian description. Published by AIP Publishing.
机译:介绍模型广泛用于研究化学和生物系统中的复杂组织和运输现象。定义一种严格的程序,通过该过程可以由原子细粒(FG)模型构成流体的介质粗粒(CG)表示是该领域的长期存在的问题。这些CG模型的连接具有FG的描述,它可能由来自FG模型的CG映射构建,通常不清楚。本文介绍了一种新的CG映射方案,它使用动态自我一致的光明质心性voronoi曲折号来解决这一具有挑战性的问题。新的映射方案应用于在静态条件和非平衡剪切流的不同CG分辨率下超临界Lennard-Jones流体系统的粗晶。该方法产生连续,稳定和令人讨厌的CG轨迹,并定量地捕获下面的FG流体的慢速集体运动。然后基于Mori-Zwanzig形式主义开发了来自映射CG轨迹的CG模型的参数化。广义LangeVin方程描述了CG变量的动态,并且示出了参数化结果来再现CG系统的结构和动态相关性。新的动态映射方案和参数化协议打开了拉格朗日描述中的媒介镜片模型的直接施工的大道。通过AIP发布发布。

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