IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2025-03-07 DOI:10.1063/5.0251585
Imogen Daisy Smith, Marcello Sega
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引用次数: 0

摘要

分子模拟是预测液体热物理性质的重要工具,对模型势能的严格验证对于确保其在新应用中的可靠性至关重要。在有关经验力场的现有文献中,明显缺乏剪切粘度和体积粘度的数据。剪切粘度的实验值或模型值可广泛获得,是一个极好的基准,而体积粘度的测量则更具挑战性,只有少数液体可获得实验值。在此,我们对虚拟化学数据库中 140 多种小分子牛顿液体的剪切粘度和体积粘度进行了分析,这些粘度是通过格林-久保关系的分子动力学模拟计算得出的。因此,我们为常用的液体模拟优化势场(OPLS)和广义琥珀力场(GAFF)提供了这些输运性质的全面参考。
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Insights from virtual chemistry: Shear and bulk viscosity of organic liquids via molecular simulations.

Molecular simulations are important tools for predicting the thermophysical properties of liquids, and a rigorous validation of the model potentials is crucial to ensure their reliability for new applications. In the existing literature on empirical force fields, there is an obvious lack of data for shear and bulk viscosity. While experimental or model values for shear viscosity are widely available and represent an excellent benchmark, bulk viscosity is more challenging to measure, and experimental values are available for only a handful of liquids. Here, we present an analysis of both shear and bulk viscosity, calculated from molecular dynamics simulations via the Green-Kubo relations, for over 140 small molecular Newtonian liquids from the Virtual Chemistry database. Therefore, we provide a comprehensive reference for these transport properties for the popular optimized potential for liquid simulations (OPLS) force field and the generalized Amber force field (GAFF).

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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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