用Kirkwood-Buff方法测定NaCl水溶液溶解度的分子动力学模拟。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Abhishek Chattopadhyay, Varun Mandalaparthy, Nico F A van der Vegt
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引用次数: 0

摘要

电解质溶液是广泛的科学和工业应用的核心,溶液中的离子影响着离子扩散、溶剂化结构和化学势等多种特性。然而,在分子动力学(MD)模拟中准确预测盐(如氯化钠(NaCl))的溶解度是具有挑战性的。现有的方法,如直接共存法和化学势路线,提供了见解,但往往需要大量的计算资源或面临可重复性的限制。在这项研究中,我们提出了另一种方法,使用Kirkwood-Buff (KB)理论结合MD模拟来估计NaCl的溶解度。这种“KB方法”需要基于参考电解质化学势计算不同电解质浓度下离子-离子和离子-水的Kirkwood-Buff积分,得到浓度依赖的化学势。我们计算了五种最先进的NaCl模型的溶解度,并发现在低和中高电解质浓度下离子配对与溶解度之间存在明确的联系。我们的研究结果表明,在1.0摩尔电解质水溶液中,每个离子的平均接触离子对数在0.014 ~ 0.025之间的力场可能是一个很好的选择,为未来的模型改进提供了有价值的见解。通过评估KB方法的计算效率,我们强调了它作为计算未来离子模型溶解度的可靠工具的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of aqueous solubility of NaCl in molecular dynamics simulation using the Kirkwood-Buff method.

Electrolyte solutions are central to a wide range of scientific and industrial applications, with ions in solution affecting properties as diverse as ion diffusion, solvation structure, and chemical potentials. However, accurately predicting the solubility of salts such as sodium chloride (NaCl) in molecular dynamics (MD) simulations is challenging. Existing methods, such as the direct coexistence method and the chemical potential route, provide insights but often require extensive computational resources or face limitations in reproducibility. In this study, we present an alternative approach using Kirkwood-Buff (KB) theory combined with MD simulations to estimate the solubility of NaCl. This "KB method" requires the calculation of ion-ion and ion-water Kirkwood-Buff integrals at different electrolyte concentrations based on a reference electrolyte chemical potential, yielding concentration-dependent chemical potentials. We calculated the solubility of five state-of-the-art NaCl models and found a clear link between ion pairing and solubility at low and moderately high electrolyte concentrations. Our results suggest that force fields with a mean number of contact ion pairs per ion between 0.014 and 0.025 in 1.0 molal aqueous electrolyte solution might be a good choice, offering valuable insights for future model refinement. By evaluating the computational efficiency of the KB method, we highlight its potential as a reliable tool to calculate the solubility of the future ion models.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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