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可转移局部密度势的温度相关长度尺度。

A temperature-dependent length-scale for transferable local density potentials.

作者信息

Szukalo Ryan J, Noid W G

机构信息

Department of Chemistry, Penn State University, University Park, Pennsylvania 16802, USA.

出版信息

J Chem Phys. 2023 Aug 21;159(7). doi: 10.1063/5.0157815.

Abstract

Recent coarse-grained (CG) models have often supplemented conventional pair potentials with potentials that depend upon the local density around each particle. In this work, we investigate the temperature-dependence of these local density (LD) potentials. Specifically, we employ the multiscale coarse-graining (MS-CG) force-matching variational principle to parameterize pair and LD potentials for one-site CG models of molecular liquids at ambient pressure. The accuracy of these MS-CG LD potentials quite sensitively depends upon the length-scale, rc, that is employed to define the local density. When the local density is defined by the optimal length-scale, rc*, the MS-CG potential often accurately describes the reference state point and can provide reasonable transferability across a rather wide range of temperatures. At ambient pressure, the optimal LD length-scale varies linearly with temperature over a very wide range of temperatures. Moreover, if one adopts this temperature-dependent LD length-scale, then the MS-CG LD potential appears independent of temperature, while the MS-CG pair potential varies linearly across this temperature range. This provides a simple means for predicting pair and LD potentials that accurately model new state points without performing additional atomistic simulations. Surprisingly, at certain state points, the predicted potentials provide greater accuracy than MS-CG potentials that were optimized for the state point.

摘要

最近的粗粒度(CG)模型常常在传统的对势基础上,补充依赖于每个粒子周围局部密度的势。在这项工作中,我们研究了这些局部密度(LD)势的温度依赖性。具体而言,我们采用多尺度粗粒度(MS-CG)力匹配变分原理,为常压下分子液体的单位点CG模型参数化对势和LD势。这些MS-CG LD势的精度非常敏感地取决于用于定义局部密度的长度尺度rc。当局部密度由最优长度尺度rc*定义时,MS-CG势常常能准确描述参考状态点,并且在相当宽的温度范围内能提供合理的可转移性。在常压下,最优LD长度尺度在非常宽的温度范围内随温度线性变化。此外,如果采用这种与温度相关的LD长度尺度,那么MS-CG LD势似乎与温度无关,而MS-CG对势在这个温度范围内线性变化。这提供了一种简单的方法来预测对势和LD势,无需进行额外的原子模拟就能准确地对新的状态点进行建模。令人惊讶的是,在某些状态点,预测的势比针对该状态点优化的MS-CG势具有更高的精度。

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