Issue 2, 2016

Understanding the interfacial behavior in isopycnic Lennard-Jones mixtures by computer simulations

Abstract

The physical characterization of the singular interfacial behavior of heterogeneous fluid systems is a very important step in preliminary stages of the design process, and also in the subsequent procedures for the determination of the optimal operating conditions. Molar isopycnicity or molar density inversion is a special case of phase equilibrium behavior that directly affects the relative position of phases in heterogeneous mixtures, without being affected by gravitational fields. This work is dedicated to characterize the impact of molar density inversion on the interfacial properties of Lennard-Jones binary mixtures. The results and specific trends of the molar density inversion phenomena on the peculiar calculated composition profiles across the interface and interfacial tensions are explored by using canonical molecular dynamics simulations of the Lennard-Jones binary mixtures. Our results show that the density inversion causes drastic changes in the density profiles of the mixtures. In particular, symmetrical and equal-sized Lennard-Jones mixtures always exhibit desorption along the interfacial zone, i.e. the interfacial concentration profiles show a relative minimum at the interface of the total density profiles that increases when the dispersive energy parameter (εij) between unlike species decreases. However, as the asymmetry of the Lennard-Jones mixtures increases (σiσj), the concentration profiles display a relative maximum at the interface, which implies the adsorption of the total density profiles along the interfacial zone.

Graphical abstract: Understanding the interfacial behavior in isopycnic Lennard-Jones mixtures by computer simulations

Article information

Article type
Paper
Submitted
28 Oct 2015
Accepted
25 Nov 2015
First published
26 Nov 2015

Phys. Chem. Chem. Phys., 2016,18, 1114-1124

Author version available

Understanding the interfacial behavior in isopycnic Lennard-Jones mixtures by computer simulations

J. M. Garrido, M. M. Piñeiro, A. Mejía and F. J. Blas, Phys. Chem. Chem. Phys., 2016, 18, 1114 DOI: 10.1039/C5CP06562C

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