Department of Chemistry, Penn State University, University Park, Pennsylvania 16802, USA.
J Chem Phys. 2019 Jan 7;150(1):014104. doi: 10.1063/1.5050509.
Due to their computational efficiency, coarse-grained (CG) models are widely adopted for modeling soft materials. As a consequence of averaging over atomistic details, the effective potentials that govern the CG degrees of freedom vary with temperature and density. This state-point dependence not only limits their range of validity but also presents difficulties when modeling thermodynamic properties. In this work, we systematically examine the temperature- and density-dependence of effective potentials for 1-site CG models of liquid ethane and liquid methanol. We employ force-matching and self-consistent pressure-matching to determine pair potentials and volume potentials, respectively, that accurately approximate the many-body potential of mean force (PMF) at a range of temperatures and densities. The resulting CG models quite accurately reproduce the pair structure, pressure, and compressibility of the corresponding all-atom models at each state point for which they have been parameterized. The calculated pair potentials vary quite linearly with temperature and density over the range of liquid state points near atmospheric pressure. These pair potentials become increasingly repulsive both with increasing temperature at constant density and also with increasing density at constant temperature. Interestingly, the density-dependence appears to dominate, as the pair potentials become increasingly attractive with increasing temperature at constant pressure. The calculated volume potentials determine an average pressure correction that also varies linearly with temperature, although the associated compressibility correction does not. The observed linearity allows for predictions of pair and volume potentials that quite accurately model these liquids in both the constant NVT and constant NPT ensembles across a fairly wide range of temperatures and densities. More generally, for a given CG configuration and density, the PMF will vary linearly with temperature over the temperature range for which the entropy associated with the conditioned distribution of atomic configurations remains constant.
由于其计算效率高,粗粒化 (CG) 模型被广泛应用于软物质建模。由于对原子细节进行平均处理,控制 CG 自由度的有效势随温度和密度而变化。这种状态点依赖性不仅限制了它们的有效范围,而且在建模热力学性质时也带来了困难。在这项工作中,我们系统地研究了液态乙烷和甲醇 1 位点 CG 模型的有效势的温度和密度依赖性。我们分别采用力匹配和自洽压力匹配来确定对势能和体积势能,这些势能可以准确地逼近在一系列温度和密度下的平均力势能 (PMF)。所得到的 CG 模型在参数化的每个状态点都非常准确地再现了相应全原子模型的对结构、压力和压缩性。计算出的对势能随温度和密度的变化相当线性,在接近常压的液态状态点范围内。这些对势能随着温度的升高而变得越来越排斥,而在恒定温度下随着密度的升高也变得越来越排斥。有趣的是,密度依赖性似乎占主导地位,因为在恒压下,对势能随着温度的升高而变得越来越有吸引力。计算出的体积势能确定了一个平均压力修正,该修正也随温度线性变化,尽管相关的压缩性修正则不然。所观察到的线性性允许对在相当宽的温度和密度范围内的恒 NVT 和恒 NPT 系综中对这些液体进行建模的对和体积势能进行预测,这些预测非常准确。更一般地,对于给定的 CG 构型和密度,PMF 将随温度线性变化,只要与原子构型条件分布相关的熵在温度范围内保持恒定。