Eduard-Zintl-Institut für Anorganische und Physikalische Chemie, Center of Smart Interfaces , Technische Universität Darmstadt , Alarich-Weiss-Straße 10 , 64287 , Darmstadt , Germany.
J Phys Chem B. 2018 May 31;122(21):5515-5526. doi: 10.1021/acs.jpcb.7b11831. Epub 2018 Feb 2.
The computation of Kirkwood-Buff integrals (KBIs) using molecular simulations of closed systems is challenging due to finite system-size effects. One of the problems involves the incorrect asymptotic behavior of the radial distribution function. Corrections to rectify such effects have been proposed in the literature. This study reports a systematic comparison of the proposed corrections (as given by Ganguly et al. J. Chem. Theory Comput. 2013, 9, 1347-1355 and Krüger et al. J. Phys. Chem. Lett. 2013, 4, 4-7) to assess the asymptotic behavior of the RDFs, the KBIs, as well as the estimation of thermodynamic quantities for ideal urea-water and nonideal modified-urea-water mixtures using molecular dynamics simulations. The results show that applying the KBI correction suggested by Krüger et al. on the RDF corrected with the Ganguly et al. correction (denoted as B-KBI) yields improved KBI convergence for the ideal and nonideal aqueous mixtures. Different averaging regions in the running KBIs (correlated or long-range) are assessed, and averaging over the correlated region for large system sizes is found to be robust toward the change in the degree of solvent nonideality and concentration, providing good estimates of thermodynamic quantities. The study provides new insights into improving the KBI convergence, the suitability of different averaging regions in KBIs to estimate thermodynamic properties, as well as the applicability of correction methods to achieve KBI convergence for nonideal aqueous binary mixtures.
由于有限的系统尺寸效应,使用封闭系统的分子模拟计算 Kirkwood-Buff 积分(KBIs)具有挑战性。其中一个问题涉及到径向分布函数的不正确渐近行为。文献中已经提出了纠正这种影响的修正方法。本研究系统比较了提出的修正方法(由 Ganguly 等人给出,J. Chem. Theory Comput. 2013, 9, 1347-1355 和 Krüger 等人给出,J. Phys. Chem. Lett. 2013, 4, 4-7),以评估 RDF、KBIs 的渐近行为,以及使用分子动力学模拟对理想尿素-水和非理想改性尿素-水混合物的热力学量进行估计。结果表明,对使用 Ganguly 等人修正后的 RDF 应用 Krüger 等人提出的 KBI 修正(表示为 B-KBI),可改善理想和非理想水混合物的 KBI 收敛性。评估了 KBI 中的不同平均区域(相关或长程),并发现对于大系统尺寸,在相关区域进行平均对于溶剂非理想性和浓度的变化是稳健的,可提供热力学量的良好估计。该研究为改善 KBI 收敛性、KBIs 中不同平均区域估算热力学性质的适用性以及修正方法在非理想水二元混合物中实现 KBI 收敛性提供了新的见解。