It is well known that the physical properties of a fluid can change profoundly, and often non-trivially, when placed in a confined environment. Only for the simplest of fluids do there exist theoretical approaches (e.g., classical density functional theory) that can predict confinement-induced changes in fluid structure and thus thermodynamics. Unfortunately, no such theoretical tools exist for predicting the effect of confinement on dynamic properties, thus limiting our understanding of emerging technologies that operate at molecular length scales length scales. Given this lack of knowledge, even simple heuristics should have some practical utility. In this work, we perform a comprehensive computational study of simple fluids in confinement to investigate the connection between static and dynamic fluid properties. The remarkable finding of this work is that the relationship (correlation) between available space and diffusivity in simple fluids is surprisingly insensitive to the degree of confinement and confining geometry (and composition, in the case of binary mixtures) over an enormous range of state points spanning from the dilute gas to the supercooled liquid. For the hard sphere fluid, this robust relationship can be exploited to provide a simple procedure for predicting the diffusivity in confinement.
The dynamic properties of bulk fluids remain a challenge to predict. Predicting the dynamic properties of confined fluids represents a greater scientific and engineering challenge. Developing simple heuristics or even robust correlations will be helpful in developing and understanding technologies that operate at increasingly smaller length scales.
To ascertain the effect of pore geometry (e.g., size, geometry, fluid-wall interactions) on correlations between dynamics and thermodynamics in bulk and confined fluids spanning vapor and dense liquid densities.
To understand the effect of pore geometry on correlations between dynamics and thermodynamics, we study a monodisperse hard-sphere fluid confined in neutral slit pores, square channels and cylindrical pores. We have also studied binary hard-sphere mixtures in bulk and under confinement. Eventually, we would like to extend this work to more real realistic fluids.
We have calculated the self-diffusion coefficient using molecular dynamics, and excess entropy and various measures of available volume transition-matrix Monte Carlo at approximately 1,000 state points, covering densities from the dilute gas to the freezing transition. The remarkably robust correlation between the available volume and diffusivity, can be used to provide an accurate, fast simulation-free approach to estimate the self-diffusivity coefficient of confined hard-sphere fluids.
We have discovered a remarkably robust correlation between the available volume and diffusivity. Exploiting this relationship, we have developed a fast simulation-free approach to estimate the self-diffusivity coefficient of confined hard-sphere fluids.