2023
DOI: 10.1021/acs.jpcb.2c08752
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Mass Transfer through Vapor–Liquid Interfaces Studied by Non-Stationary Molecular Dynamics Simulations

Abstract: Molecular dynamics (MD) simulations are highly attractive for studying the influence of interfacial effects, such as the enrichment of components, on the mass transfer through the interface. In a recent work, we have presented a steady-state MD simulation method for investigating this phenomenon and tested it using model mixtures with and without interfacial enrichment. The present study extends this work by introducing a nonstationary MD simulation method. A rectangular simulation box that contains a mixture … Show more

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Cited by 16 publications
(9 citation statements)
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References 88 publications
(189 reference statements)
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“…Furthermore, the mutual diffusion coefficient at the interface prominently lowers than the experimental value, i.e., D O2 = 2.13 × 10 −9 m 2 /s, 20 after the initiation of contraction, and might be ascribed to the unbalanced attraction caused by the bulk gas and bulk liquid. Moreover, this attenuation might also be closely related to the enrichment at the interface reported by Stephan et al, 37 Schaefer et al 39 and Baidakov et al 41,42 Although this hypothesis lacks experimental proofs, it might constitute one of plausible mechanisms. Besides, the S−E equation, derived for large Brownian particles, is not applicable to solute molecules less than approximately 1000 in molecular mass 19 and thereby the mutual diffusion coefficient curves deviate from those plotted based on the S−E equation.…”
Section: Self-diffusion Coefficients From MD Simulationsmentioning
confidence: 82%
See 2 more Smart Citations
“…Furthermore, the mutual diffusion coefficient at the interface prominently lowers than the experimental value, i.e., D O2 = 2.13 × 10 −9 m 2 /s, 20 after the initiation of contraction, and might be ascribed to the unbalanced attraction caused by the bulk gas and bulk liquid. Moreover, this attenuation might also be closely related to the enrichment at the interface reported by Stephan et al, 37 Schaefer et al 39 and Baidakov et al 41,42 Although this hypothesis lacks experimental proofs, it might constitute one of plausible mechanisms. Besides, the S−E equation, derived for large Brownian particles, is not applicable to solute molecules less than approximately 1000 in molecular mass 19 and thereby the mutual diffusion coefficient curves deviate from those plotted based on the S−E equation.…”
Section: Self-diffusion Coefficients From MD Simulationsmentioning
confidence: 82%
“…The interface between two bulk phases also affects the mutual diffusion behavior by acting as an additional mass transfer resistance, and this topic has been intensively discussed. Matsumoto, 35 Stephan et al, 36−38 and Schaefer et al 39 examined the interphase mass transfer in a binary system by employing MD simulations and indicated that interfacial enrichment or adsorption hinders the effective molecular exchange to make the corresponding mutual diffusion coefficient slower compared to the bulk diffusion coefficient.…”
Section: ■ Introductionmentioning
confidence: 99%
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“…These simulations can be applied to study a diverse array of systems, relying on the underlying force field. Calculating thermodynamic properties from MD simulations is a very active research field, with new methods and approaches being developed and benchmarked regularly. In the standard formulation of MD, the intra- and intermolecular interactions are described by pairwise additive Lennard-Jones (LJ) and Coulomb potentials. In many commonly used force fields, the LJ potential is parameterized to reproduce the experimentally obtained properties of the pure components.…”
Section: Introductionmentioning
confidence: 99%
“…This phenomenon is referred to as enrichment and is closely related to the relative adsorption. The enrichment of components at the vapor–liquid interface of mixtures has received some attention in the past decades as it is suspected to influence the mass transfer across the interface, , which might have important consequences for fluid separation processes.…”
Section: Introductionmentioning
confidence: 99%