Baran Łukasz, Dicu-Gohoreanu Cosmin A, MacDowell Luis G
Department of Theoretical Chemistry, Institute of Chemical Sciences, Faculty of Chemistry, Maria Curie-Sklodowska University in Lublin, Lublin, Poland.
Departamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense, Madrid 28040, Spain.
J Chem Phys. 2025 Aug 7;163(5). doi: 10.1063/5.0283754.
Efficient large-scale computer simulations of aqueous solutions require the use of accurate but simple empirical force fields for water. However, the complexity of these systems evidences the difficulties in describing solution properties without due account of polarization. Different strategies to remedy this problem are parameterizing water force fields to the dielectric constant or charge scaling of solvated ions. In this work, we compare results from TIP4P/ɛ and OPC models, which are parameterized to predict the dielectric constant, with results from TIP4P/2005, which is closer in spirit to the charge scaling strategy. The performance of the models is rated according to the Vega-Abascal benchmark. Our results show that TIP4P/ɛ and TIP4P/2005 perform equally well, with the OPC model lying significantly behind. TIP4P/ɛ can predict bulk phase properties (transport properties, thermal expansion coefficients, and densities) of both liquid water and ice polymorphs, but also surface tensions, with an accuracy very similar to TIP4P/2005, while performing very well for dielectric constants over a wide range of pressures and temperatures. On the other hand, TIP4P/2005 provides a better description of phase boundaries, including liquid-vapor and freezing transitions. However, the accurate prediction of dielectric constants allows TIP4P/ɛ to describe densities of NaCl solutions for models parameterized to their crystal and melt properties only. This is achieved without the need to rescale charges, modify the Lorentz-Berthelot rule, or tune the ion's Lennard-Jones parameters. Our findings hinge on the significance of dielectric constants as a target property and show that a robust parameterization can be achieved without invoking the concept of charge scaling.
对水溶液进行高效的大规模计算机模拟需要使用精确但简单的水经验力场。然而,这些系统的复杂性表明,在没有适当考虑极化的情况下描述溶液性质存在困难。解决这个问题的不同策略是将水的力场参数化到溶剂化离子的介电常数或电荷缩放。在这项工作中,我们将针对预测介电常数进行参数化的TIP4P/ɛ和OPC模型的结果,与在理念上更接近电荷缩放策略的TIP4P/2005模型的结果进行了比较。根据Vega-Abascal基准对模型的性能进行评级。我们的结果表明,TIP4P/ɛ和TIP4P/2005的表现同样出色,而OPC模型则明显落后。TIP4P/ɛ可以预测液态水和多种冰型的体相性质(传输性质、热膨胀系数和密度),还能预测表面张力,其准确性与TIP4P/2005非常相似,同时在很宽的压力和温度范围内对介电常数的预测也非常出色。另一方面,TIP4P/2005对相界,包括液-气和凝固转变,提供了更好的描述。然而,对介电常数的准确预测使TIP4P/ɛ能够仅针对根据其晶体和熔体性质进行参数化的模型来描述NaCl溶液的密度。这一目标的实现无需重新缩放电荷、修改洛伦兹-贝特洛规则或调整离子的 Lennard-Jones 参数。我们的发现取决于介电常数作为目标性质的重要性,并表明无需引入电荷缩放概念即可实现稳健的参数化。