Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, 20 Penn Street, Baltimore, Maryland 21201, USA.
J Chem Phys. 2013 Jan 21;138(3):034508. doi: 10.1063/1.4774577.
A polarizable water model, SWM6, was developed and optimized for liquid phase simulations under ambient conditions. Building upon the previously developed SWM4-NDP model, additional sites representing oxygen lone-pairs were introduced. The geometry of the sites is assumed to be rigid. Considering the large number of adjustable parameters, simulated annealing together with polynomial fitting was used to facilitate model optimization. The new water model was shown to yield the correct self-diffusion coefficient after taking the system size effect into account, and the dimer geometry is better reproduced than in the SWM4 models. Moreover, the experimental oxygen-oxygen radial distribution is better reproduced, indicating that the new model more accurately describes the local hydrogen bonding structure of bulk phase water. This was further validated by its ability to reproduce the experimental nuclear magnetic shielding and related chemical shift of the water hydrogen in the bulk phase, a property sensitive to the local hydrogen bonding structure. In addition, comparison of the liquid properties of the SWM6 model is made with those of a number of widely used additive and polarizable models. Overall, improved balance between the description of monomer, dimer, clustered, and bulk phase water is obtained with the new model compared to its SWM4-NDP polarizable predecessor, though application of the model requires an approximately twofold increase on computational resources.
一种可极化的水分子模型,SWM6,是为环境条件下的液相模拟而开发和优化的。该模型是在先前开发的 SWM4-NDP 模型的基础上,引入了额外的代表氧孤对的位点。这些位点的几何形状被假设为刚性的。考虑到大量可调节的参数,模拟退火和多项式拟合被用于促进模型优化。新的水分子模型在考虑体系尺寸效应后,能够得到正确的自扩散系数,并且二聚体的几何形状比 SWM4 模型更好地再现。此外,实验中的氧-氧径向分布得到了更好的再现,表明新模型更准确地描述了体相水中的局部氢键结构。这进一步通过其在体相中重现实验核磁共振屏蔽和相关水分子化学位移的能力得到了验证,这种性质对局部氢键结构敏感。此外,还将 SWM6 模型的液体性质与许多广泛使用的添加剂和可极化模型的性质进行了比较。总的来说,与之前的 SWM4-NDP 可极化模型相比,新模型在单体、二聚体、聚集和体相水的描述之间取得了更好的平衡,尽管应用该模型需要大约两倍的计算资源。