van 't Hof A, Peters C J, de Leeuw S W
Physical Chemistry and Molecular Thermodynamics, Faculty of Applied Sciences, Delft University of Technology, Julianalaan 136, 2628 BL Delft, The Netherlands.
J Chem Phys. 2006 Feb 7;124(5):054906. doi: 10.1063/1.2137706.
The conventional Gibbs-Duhem integration method is very convenient for the prediction of phase equilibria of both pure components and mixtures. However, it turns out to be inefficient. The method requires a number of lengthy simulations to predict the state conditions at which phase coexistence occurs. This number is not known from the outset of the numerical integration process. Furthermore, the molecular configurations generated during the simulations are merely used to predict the coexistence condition and not the liquid- and vapor-phase densities and mole fractions at coexistence. In this publication, an advanced Gibbs-Duhem integration method is presented that overcomes above-mentioned disadvantage and inefficiency. The advanced method is a combination of Gibbs-Duhem integration and multiple-histogram reweighting. Application of multiple-histogram reweighting enables the substitution of the unknown number of simulations by a fixed and predetermined number. The advanced method has a retroactive nature; a current simulation improves the predictions of previously computed coexistence points as well. The advanced Gibbs-Duhem integration method has been applied for the prediction of vapor-liquid equilibria of a number of binary mixtures. The method turned out to be very convenient, much faster than the conventional method, and provided smooth simulation results. As the employed force fields perfectly predict pure-component vapor-liquid equilibria, the binary simulations were very well suitable for testing the performance of different sets of combining rules. Employing Lorentz-Hudson-McCoubrey combining rules for interactions between unlike molecules, as opposed to Lorentz-Berthelot combining rules for all interactions, considerably improved the agreement between experimental and simulated data.
传统的吉布斯-杜亥姆积分方法对于预测纯组分和混合物的相平衡非常方便。然而,事实证明它效率低下。该方法需要进行大量冗长的模拟来预测相共存发生的状态条件。这个数量在数值积分过程开始时是未知的。此外,模拟过程中生成的分子构型仅用于预测共存条件,而不是共存时的液相和气相密度及摩尔分数。在本出版物中,提出了一种先进的吉布斯-杜亥姆积分方法,它克服了上述缺点和低效率。先进方法是吉布斯-杜亥姆积分与多直方图重加权的结合。多直方图重加权的应用使得可以用固定的预定数量的模拟来替代未知数量的模拟。先进方法具有追溯性;当前的模拟也能改进先前计算的共存点的预测。先进的吉布斯-杜亥姆积分方法已被用于预测多种二元混合物的气液平衡。结果表明该方法非常方便,比传统方法快得多,并提供了平滑的模拟结果。由于所采用的力场能完美预测纯组分的气液平衡,二元模拟非常适合测试不同组合规则集的性能。与对所有相互作用都采用洛伦兹-贝特洛组合规则不同,对不同分子间的相互作用采用洛伦兹-哈德森-麦库布雷组合规则,显著改善了实验数据与模拟数据之间的一致性。