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从计算和经验优化中得到的可极化六点水分子模型。

Polarizable six-point water models from computational and empirical optimization.

机构信息

Lehrstuhl für Biomolekulare Optik, Fakultät für Physik, Ludwig-Maximilians-Universität München , Oettingenstrasse 67, D-80538 Müunchen, Germany.

出版信息

J Phys Chem B. 2014 Feb 13;118(6):1589-602. doi: 10.1021/jp4125765. Epub 2014 Jan 29.

Abstract

Tröster et al. (J. Phys. Chem B 2013, 117, 9486-9500) recently suggested a mixed computational and empirical approach to the optimization of polarizable molecular mechanics (PMM) water models. In the empirical part the parameters of Buckingham potentials are optimized by PMM molecular dynamics (MD) simulations. The computational part applies hybrid calculations, which combine the quantum mechanical description of a H2O molecule by density functional theory (DFT) with a PMM model of its liquid phase environment generated by MD. While the static dipole moments and polarizabilities of the PMM water models are fixed at the experimental gas phase values, the DFT/PMM calculations are employed to optimize the remaining electrostatic properties. These properties cover the width of a Gaussian inducible dipole positioned at the oxygen and the locations of massless negative charge points within the molecule (the positive charges are attached to the hydrogens). The authors considered the cases of one and two negative charges rendering the PMM four- and five-point models TL4P and TL5P. Here we extend their approach to three negative charges, thus suggesting the PMM six-point model TL6P. As compared to the predecessors and to other PMM models, which also exhibit partial charges at fixed positions, TL6P turned out to predict all studied properties of liquid water at p0 = 1 bar and T0 = 300 K with a remarkable accuracy. These properties cover, for instance, the diffusion constant, viscosity, isobaric heat capacity, isothermal compressibility, dielectric constant, density, and the isobaric thermal expansion coefficient. This success concurrently provides a microscopic physical explanation of corresponding shortcomings of previous models. It uniquely assigns the failures of previous models to substantial inaccuracies in the description of the higher electrostatic multipole moments of liquid phase water molecules. Resulting favorable properties concerning the transferability to other temperatures and conditions like the melting of ice are also discussed.

摘要

特罗斯特等人(J. Phys. Chem. B 2013, 117, 9486-9500)最近提出了一种混合计算和经验方法来优化可极化分子力学(PMM)水模型。在经验部分,通过 PMM 分子动力学(MD)模拟优化 Buckingham 势的参数。计算部分应用混合计算,将通过密度泛函理论(DFT)对 H2O 分子的量子力学描述与通过 MD 生成的其液相环境的 PMM 模型相结合。虽然 PMM 水模型的静态偶极矩和极化率固定在实验气相值,但 DFT/PMM 计算用于优化其余静电特性。这些特性涵盖了位于氧处的高斯感应偶极子的宽度以及分子内无质量负电荷点的位置(正电荷附在氢上)。作者考虑了一个和两个负电荷的情况,分别产生了 PMM 四和五点模型 TL4P 和 TL5P。在这里,我们将其方法扩展到三个负电荷,从而提出了 PMM 六点模型 TL6P。与前人以及其他也在固定位置具有部分电荷的 PMM 模型相比,TL6P 成功地以显著的精度预测了 p0 = 1 bar 和 T0 = 300 K 下所有研究的液态水的性质。这些特性包括扩散常数、粘度、等压热容、等温压缩率、介电常数、密度和等压热膨胀系数。这一成功同时为先前模型的相应缺点提供了微观物理解释。它将先前模型的失败独特地归因于对液相水分子的更高静电多极矩的描述存在实质性的不准确性。还讨论了对其他温度和条件(如冰的熔化)的转移的有利特性。

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