Development of a coarse-grained water forcefield via multistate iterative Boltzmann inversion.

Timothy C Moore, Christopher R Iacovella, Clare McCabe
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Abstract

A coarse-grained water model is developed using multistate iterative Boltzmann inversion. Following previous work, the k-means algorithm is used to dynamically map multiple water molecules to a single coarse-grained bead, allowing the use of structure-based coarse-graining methods. The model is derived to match the bulk and interfacial properties of liquid water and improves upon previous work that used single state iterative Boltzmann inversion. The model accurately reproduces the density and structural correlations of water at 305 K and 1.0 atm, stability of a liquid droplet at 305 K, and shows little tendency to crystallize at physiological conditions. This work also illustrates several advantages of using multistate iterative Boltzmann inversion for deriving generally applicable coarse-grained forcefields.

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通过多态迭代玻尔兹曼反演建立粗粒度水力场。
利用多态迭代玻尔兹曼反演建立了粗粒度水模型。根据之前的工作,使用 k-means 算法将多个水分子动态映射到单个粗粒度珠子上,从而可以使用基于结构的粗粒度方法。推导出的模型与液态水的体积和界面特性相匹配,并改进了之前使用单态迭代玻尔兹曼反演的工作。该模型准确地再现了水在 305 K 和 1.0 atm 下的密度和结构相关性,以及液滴在 305 K 下的稳定性,并且在生理条件下几乎没有结晶倾向。这项工作还说明了使用多态迭代玻尔兹曼反演来推导普遍适用的粗粒度力场的几个优点。
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