利用多状态重加权和配置空间映射优化的大压力和温度范围内具有改进热力学性质的水模型。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Himanshu Paliwal,  and , Michael R. Shirts*, 
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引用次数: 0

摘要

我们展示了如何利用分子模拟中大量状态点的热力学性质来有效地优化分子模型的重加权和配置映射算法。作为概念验证,我们对使用IAPWS95水状态方程估计的实验性质表面在大压力[1-5000 atm]和温度[274.15-372.15 K]范围内的刚性水模型进行了多维、多目标参数化。在最小化过程中,在六维参数空间中探索了4000多个参数组合。使用标准技术进行类似的参数化将花费超过250个CPU年的时间,但是随着新开发技术的应用,计算时间减少到四个CPU月。如果没有这里提出的方法的额外效率,优化不可能同时考虑到在拟合中使用的大范围温度和压力点。本文还描述了如何以及为什么将吉布斯能量一阶导数和二阶导数的热力学性质纳入目标函数有助于改进参数化过程。由此得出的水模型在很大的温度和压力范围内,在0.02%的实验不确定度上限内再现了液相密度,这是在整个温度和压力范围内,在这种低水平理论下最准确的模型,在其他性质上几乎没有损失。我们比较了该水模型与其他11个刚性水模型在预测其他一些热力学和动力学性质方面的性能。这个过程说明了一个令人惊讶的事实,即一个简单的点电荷模型能够准确地捕获大量的温度和压力相关的热力学,而不会与环境温度和压力下的实验有很大的偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

GOPAL: A Water Model with Improved Thermodynamic Properties over a Large Pressure and Temperature Range Optimized Using Multistate Reweighting and Configuration Space Mapping

GOPAL: A Water Model with Improved Thermodynamic Properties over a Large Pressure and Temperature Range Optimized Using Multistate Reweighting and Configuration Space Mapping

We show how reweighting and configuration mapping algorithms can be used to efficiently optimize molecular models using thermodynamic properties at a large number of state points from molecular simulations. As a proof of concept, we perform a multidimensional, multiobjective parameterization of a rigid water model over a large pressure [1–5000 atm] and temperature [274.15–372.15 K] range to the experimental property surfaces estimated using the IAPWS95 equation of state for water. Over 4000 parameter combinations in a six-dimensional parameter space were explored during the minimization. A similar parameterization with standard techniques would have taken more than 250 CPU years, but with the application of the newly developed techniques, the computational time was reduced to four CPU months. Without the added efficiency of the methods presented here, the optimization could not have simultaneously taken into account the large range of temperature and pressure points used in the fitting. The paper also describes how and why incorporating the thermodynamic properties from the first and second derivatives of Gibbs energy into the objective function helps improve the parameterization process. The resulting water model reproduces liquid phase density within the upper limit of experimental uncertainty of 0.02% over a large range of temperatures and pressures, the most accurate model yet at this low level of theory over the entire range of temperature and pressure, with little loss of fidelity in other properties. We compare the performance of this water model with 11 other rigid water models in predicting a number of other thermodynamic and kinetic properties. This process illustrates the surprising fact that a simple point charge model is able to accurately capture a substantial range of both temperature- and pressure-dependent thermodynamics without substantial deviation from experiment at ambient temperatures and pressures.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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