Heinen Marco
División de Ciencias e Ingenierías, Departamento de Ingeniería Física, University of Guanajuato, Loma del Bosque 103, León, 37150, Mexico.
J Comput Chem. 2018 Jul 30;39(20):1531-1543. doi: 10.1002/jcc.25225. Epub 2018 Apr 29.
An iterative Monte Carlo inversion method for the calculation of particle pair potentials from given particle pair correlations is proposed in this article. The new method, which is best referred to as Iterative Ornstein-Zernike Inversion, represents a generalization and an improvement of the established Iterative Boltzmann Inversion technique (Reith, Pütz and Müller-Plathe, J. Comput. Chem. 2003, 24, 1624). Our modification of Iterative Boltzmann Inversion consists of replacing the potential of mean force as an approximant for the pair potential with another, generally more accurate approximant that is based on a trial bridge function in the Ornstein-Zernike integral equation formalism. As an input, the new method requires the particle pair correlations both in real space and in the Fourier conjugate wavenumber space. An accelerated iteration method is included in the discussion, by which the required number of iterations can be greatly reduced below that of the simple Picard iteration that underlies most common implementations of Iterative Boltzmann Inversion. Comprehensive tests with various pair potentials show that the new method generally surpasses the Iterative Boltzmann Inversion method in terms of reliability of the numerical solution for the particle pair potential. © 2018 Wiley Periodicals, Inc.
本文提出了一种用于从给定的粒子对相关性计算粒子对势的迭代蒙特卡罗反演方法。这种新方法,最好称为迭代奥恩斯坦 - 泽尔尼克反演,是对已有的迭代玻尔兹曼反演技术(Reith、Pütz和Müller - Plathe,《计算化学杂志》,2003年,24卷,1624页)的推广和改进。我们对迭代玻尔兹曼反演的改进包括用另一种通常更精确的近似函数取代作为对势近似的平均力势,该近似函数基于奥恩斯坦 - 泽尔尼克积分方程形式中的一个试算桥函数。作为输入,新方法需要实空间和傅里叶共轭波数空间中的粒子对相关性。讨论中包含一种加速迭代方法,通过该方法,所需的迭代次数可以大大减少到低于构成迭代玻尔兹曼反演最常见实现方式基础的简单皮卡迭代的次数。对各种对势的综合测试表明,新方法在粒子对势数值解的可靠性方面通常优于迭代玻尔兹曼反演方法。© 2018威利期刊公司。