Diffusion Coefficients from Molecular Dynamics Simulations in Binary and Ternary Mixtures

被引:0
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作者
Xin Liu
Sondre K. Schnell
Jean-Marc Simon
Peter Krüger
Dick Bedeaux
Signe Kjelstrup
André Bardow
Thijs J. H. Vlugt
机构
[1] Delft University of Technology,Process and Energy Laboratory
[2] RWTH Aachen University,Lehrstuhl für Technische Thermodynamik
[3] UMR 6303 CNRS-Université de Bourgogne,Laboratoire Interdisciplinaire Carnot de Bourgogne
[4] Chiba University,Graduate School of Advanced Integration Science
[5] Norwegian University of Science and Technology,Department of Chemistry
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Matrix of thermodynamic factors; Maxwell–Stefan diffusion; Molecular dynamics; Predictive models; Transport diffusion;
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摘要
Multicomponent diffusion in liquids is ubiquitous in (bio)chemical processes. It has gained considerable and increasing interest as it is often the rate limiting step in a process. In this paper, we review methods for calculating diffusion coefficients from molecular simulation and predictive engineering models. The main achievements of our research during the past years can be summarized as follows: (1) we introduced a consistent method for computing Fick diffusion coefficients using equilibrium molecular dynamics simulations; (2) we developed a multicomponent Darken equation for the description of the concentration dependence of Maxwell–Stefan diffusivities. In the case of infinite dilution, the multicomponent Darken equation provides an expression for [inline-graphic not available: see fulltext] which can be used to parametrize the generalized Vignes equation; and (3) a predictive model for self-diffusivities was proposed for the parametrization of the multicomponent Darken equation. This equation accurately describes the concentration dependence of self-diffusivities in weakly associating systems. With these methods, a sound framework for the prediction of mutual diffusion in liquids is achieved.
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页码:1169 / 1196
页数:27
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