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水的密度最大值和极化模型。

Density maximum and polarizable models of water.

机构信息

Institute of Chemistry, Eötvös University, 1518 Budapest 112, P.O. BOX 32, Hungary.

出版信息

J Chem Phys. 2012 Aug 28;137(8):084506. doi: 10.1063/1.4746419.

Abstract

To estimate accurately the density of water over a wide range of temperatures with a density maximum at 4 °C is one of the most stringent tests of molecular models. The shape of the curve influences the ability to describe critical properties and to predict the freezing temperature. While it was demonstrated that with a proper parameter fit nonpolarizable models can approximate this behavior accurately, it is much more difficult to do this for polarizable models. We provide a short overview of ρ-T diagrams for existing models, then we give an explanation of this difficulty. We present a version of the BK model [A. Baranyai and P. T. Kiss, J. Chem. Phys. 133, 144109 (2010); and ibid. 135, 234110 (2011)] which is capable to predict the density of water over a wide range of temperature. The BK model uses the charge-on-spring method with three Gaussian charges. Since the experimental dipole moment and the geometry is fixed, and the quadrupole moment is approximated by a least mean square procedure, parameters of the repulsion and dispersive attraction forces remained as free tools to match experimental properties. Relying on a simplified but plausible justification, the new version of the model uses repulsion and attraction as functions of the induced dipole moment of the molecule. The repulsive force increases, while the attractive force decreases with the size of the molecular dipole moment. At the same time dipole moment dependent dispersion forces are taking part in the polarization of the molecule. This scheme iterates well and, in addition to a reasonable density-temperature function, creates dipole distributions with accurate estimation of the dielectric constant of the liquid.

摘要

准确估计在温度范围内具有 4°C 密度最大值的水的密度是对分子模型最严格的测试之一。曲线的形状影响描述临界性质和预测冰点的能力。虽然已经证明,通过适当的参数拟合,非极化模型可以准确地近似这种行为,但对于可极化模型来说,这要困难得多。我们提供了现有模型的 ρ-T 图的简要概述,然后解释了这种困难。我们提出了 BK 模型[A. Baranyai 和 P. T. Kiss,J. Chem. Phys. 133, 144109(2010);和 ibid. 135, 234110(2011)]的一个版本,该模型能够预测在广泛的温度范围内水的密度。BK 模型使用带有三个高斯电荷的电荷弹簧方法。由于实验偶极矩和几何形状是固定的,并且四极矩通过最小均方程序进行近似,排斥和色散吸引力的参数仍然是匹配实验性质的自由工具。新版本的模型基于简化但合理的理由,将排斥力和吸引力用作分子诱导偶极矩的函数。排斥力增加,而吸引力随分子偶极矩的大小而减小。同时,偶极矩相关的色散力参与了分子的极化。这种方案迭代良好,除了合理的密度-温度函数外,还创建了具有液体介电常数准确估计的偶极子分布。

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