Published on 01 January 2018

Kirkwood–Buff integrals of finite systems: shape effects

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Dawass, Noura;Krüger, Peter;Jean-Marc Simon;Vlugt, Thijs J. H.

Description

The Kirkwood–Buff (KB) theory provides an important connection between microscopic density fluctuations in liquids and macroscopic properties. Recently, Krüger et al. derived equations for KB integrals for finite subvolumes embedded in a reservoir. Using molecular simulation of finite systems, KB integrals can be computed either from density fluctuations inside such subvolumes, or from integrals of radial distribution functions (RDFs). Here, based on the second approach, we establish a framework to compute KB integrals for subvolumes with arbitrary convex shapes. This requires a geometric function w(x) which depends on the shape of the subvolume, and the relative position inside the subvolume. We present a numerical method to compute w(x) based on Umbrella Sampling Monte Carlo (MC). We compute KB integrals of a liquid with a model RDF for subvolumes with different shapes. KB integrals approach the thermodynamic limit in the same way: for sufficiently large volumes, KB integrals are a linear function of area over volume, which is independent of the shape of the subvolume.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

15%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

Assigned Domain

Subfield

Applied Mathematics

Field

Mathematics

Domain

Physical Sciences

Confidence Score

98%

Source

Open Alex

Keywords

BiophysicsBiochemistry29999 Physical Sciences not elsewhere classifiedFOS: Physical sciencesMedicineMicrobiologyFOS: Biological sciencesGeneticsBiotechnology39999 Chemical Sciences not elsewhere classifiedFOS: Chemical sciences80699 Information Systems not elsewhere classifiedFOS: Computer and information sciences19999 Mathematical Sciences not elsewhere classifiedFOS: MathematicsDevelopmental Biology110309 Infectious DiseasesFOS: Health sciencesPlant Biology60506 VirologyComputational Biology

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00