扩展的能量偏压聚集-体积偏压蒙特卡罗(EB-AVBMC)方法模拟反应水势成核。

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Anthony Val Canillas Camposano, Even Marius Nordhagen, Anders Malthe-So̷renssen, Henrik Andersen Sveinsson
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引用次数: 0

摘要

AVBMC算法已被广泛应用于TIP3P、SPC/E、TIP4P和TIP4P/2005等经验水模型中,用于研究水的成核和汽液性质,但在反应水模型中的应用仍有待探索。在这里,我们提出了一种扩展的能量偏压聚集-体积偏压蒙特卡罗(EB-AVBMC)方法,用于计算成核自由能和液-汽性质,如气体密度和表面张力,使用基于Vashishta势函数形式的三体反作用力场[物理学]。[j].中国生物医学工程学报,2002,22(1):479 - 479。关键的修改包括修改接受规则,考虑插入/删除分子的分子内能量,以防止可能导致采样偏差的高接受概率,以及避免删除解离水分子的约束。这些调整确保有效的键合拓扑修改。我们通过研究298.15 K下不同簇大小的水成核来证明该方法的适用性,并显示出与刚性水模型研究一致的自由能。该方法可推广到其他反应性水力场,为模拟反应性液-汽性质提供了有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Extended Energy-Biased Aggregation-Volume-Bias Monte Carlo (EB-AVBMC) Method for Nucleation Simulation of a Reactive Water Potential.

The aggregation-volume-bias Monte Carlo (AVBMC) algorithm has been widely used with empirical water models like TIP3P, SPC/E, TIP4P, and TIP4P/2005 to study nucleation and vapor-liquid properties, but its application to reactive water models remains underexplored. Here, we present an extension of the energy-bias aggregation-volume-bias Monte Carlo (EB-AVBMC) method for calculating nucleation free energies and liquid-vapor properties, such as gas density and surface tension, using a three-body reactive force field based on the Vashishta potential functional form [Phys. Rev. B 1990, 41, 12197-12209]. Key modifications include revised acceptance rules that consider the intramolecular energy of the inserted/deleted molecule to prevent high acceptance probabilities that could bias the sampling and constraints to avoid the deletion of dissociated water molecules. These adjustments ensure valid bond topology modifications. We demonstrate the method's applicability by studying water nucleation at 298.15 K, with varying cluster sizes, and showing a free energy consistent with studies from rigid water models. This approach is generalizable to other reactive water force fields, offering a valuable tool for simulating reactive liquid-vapor properties.

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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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