Abstract

Kirkwood-Buff integrals (KBIs) connect the microscopic structure and thermodynamic properties of liquid solutions. KBIs are defined in the grand canonical ensemble and evaluated by assuming the thermodynamic limit (TL). In order to reconcile analytical and numerical approaches, finite-size KBIs have been proposed in the literature, resulting in two strategies to obtain their TL values from computer simulations. (i) The spatial block analysis method in which the simulation box is divided into subdomains of volume V to compute density fluctuations. (ii) A direct integration method where a corrected radial distribution function and a kernel that accounts for the geometry of the integration subvolumes are combined to obtain KBI as a function of V. In this work, we propose a method that connects both strategies into a single framework. We start from the definition of finite-size KBI, including the integration subdomain and an asymptotic correction to the radial distribution function, and solve them in Fourier space where periodic boundary conditions are trivially introduced. The limit q → 0, equivalent to the value of the KBI in the TL, is obtained via the spatial block-analysis method. When compared to the latter, our approach gives nearly identical results for all values of V. Moreover, all finite-size effect contributions (ensemble, finite-integration domains, and periodic boundary conditions) are easily identifiable in the calculation. This feature allows us to analyze finite-size effects independently and extrapolates the results of a single simulation to different box sizes. To validate our approach, we investigate prototypical systems, including SPC/E water and aqueous urea mixtures.

Highlights

  • Kirkwood-Buff integrals (KBI) connect the microscopic structure of a liquid solution, via integrals of the radial distribution functions (RDF), and its thermodynamic properties, as obtained from fluctuations of the number of particles in subvolumes of the total system [1]

  • In order to reconcile analytical and numerical approaches, finite-size KBI have been proposed in the literature, resulting in two strategies to obtain their thermodynamic limit (TL) values from computer simulations. (i) The spatial block-analysis method in which the simulation box is divided into subdomains of volume V to compute density fluctuations. (ii) A direct integration method where a corrected radial distribution function and a kernel that accounts for the geometry of the integration subvolumes are combined to obtain KBI as a function of V

  • Finite Kirkwood-Buff integrals (KBI) enable us to sample the thermodynamic limit of liquid mixtures via relatively small computer simulations

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Summary

INTRODUCTION

Kirkwood-Buff integrals (KBI) connect the microscopic structure of a liquid solution, via integrals of the radial distribution functions (RDF), and its thermodynamic properties, as obtained from fluctuations of the number of particles in subvolumes of the total system [1]. To the definition in the grand-canonical ensemble, finite-size KBI equate fluctuations of the number of particles in subvolumes V inside the simulation box with integrals of the corresponding closed-system radial distribution functions [37,38,39]. This relation provides two routes to obtain KBI in the TL. In the limit V > Vζ, with Vζ the volume defined by the correlation length of the system ζ, the integration of the radial distribution functions give an expression equivalent to the result obtained from linear scaling of fluctuations of the number of particles, including ensemble and finite integration domain effects [46].

KIRKWOOD-BUFF INTEGRALS FOR FINITE-SIZE SYSTEMS
V0 δij ρi
COMPUTATIONAL DETAILS
Single component liquid
Binary mixture: aqueous urea solution
CONCLUDING REMARKS
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