Mass transfer through vapor–liquid interfaces from hydrodynamic density functional theory

We assess the capabilities of hydrodynamic density functional theory (hydrodynamic DFT) to predict mass transfer through vapor–liquid interfaces by studying the response of an initially equilibrated pure component vapor–liquid system to the localized insertion of a second component. Hydrodynamic DFT captures the effect of interfaces on the dynamics by modeling the chemical potential gradients of an inhomogeneous system based on classical DFT. Hydrodynamic DFT effectively connects molecular models with continuum fluid dynamics. Away from interfaces the framework simplifies to the isothermal Navier–Stokes equations. We employ Maxwell–Stefan diffusion with a generalized driving force to model diffusive molecular transport in inhomogeneous systems. For the considered Lennard–Jones truncated and shifted (LJTS) fluid, we utilize a non-local Helmholtz energy functional based on the perturbed truncated and shifted (PeTS) equation of state. The model provides noise-free partial densities and fluxes for the isothermal mass transfer of a LJTS fluid near the interface, as well as profiles of these quantities across the interface. A comparison with non-equilibrium molecular dynamics simulations shows that hydrodynamic DFT accurately predicts mass transfer through the interface, including microscopic phenomena such as the temporary enrichment and repulsion of the light-boiling component at the interface. Combining generalized entropy scaling with generalized Maxwell–Stefan diffusion allows for an accurate description of diffusive molecular transport in the system. This approach accurately captures phase behavior, equilibrium interfaces, and mass transfer through interfaces based on molecular interactions for mixtures of strongly dissimilar components. Our results suggest that hydrodynamic DFT accurately predicts the dynamics of mixtures at vapor–liquid interfaces. This is important for modeling transport processes in fluid systems and porous media — particularly for describing evaporation from pores, which requires accurate modeling of mass transfer through vapor–liquid interfaces. • Hydrodynamic density functional theory connects continuum and molecular modeling. • Maxwell–Stefan equations with generalized driving force for molecular diffusion. • Local transport coefficients from generalized entropy scaling. • Accurate prediction of mass transfer through vapor–liquid interfaces. • Application to ideal and non-ideal mixtures.

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Publication Details

Journal
International Journal of Heat and Mass Transfer
Published
2025-10-17
DOI
https://doi.org/10.1016/j.ijheatmasstransfer.2025.127874
Citations
1
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.67
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article

Mass transfer through vapor–liquid interfaces from hydrodynamic density functional theory

Rolf Stierle, Joachim Groß, Gernot Bauer, Benjamin Bursik et al.
1 citations
International Journal of Heat and Mass Transfer
Phase Equilibria and Thermodynamics
0.67
article

Mass transfer through vapor–liquid interfaces from hydrodynamic density functional theory

Rolf Stierle, Joachim Groß, Gernot Bauer, Benjamin Bursik, Frederic Bender
article en
1 citations

Abstract

We assess the capabilities of hydrodynamic density functional theory (hydrodynamic DFT) to predict mass transfer through vapor–liquid interfaces by studying the response of an initially equilibrated pure component vapor–liquid system to the localized insertion of a second component. Hydrodynamic DFT captures the effect of interfaces on the dynamics by modeling the chemical potential gradients of an inhomogeneous system based on classical DFT. Hydrodynamic DFT effectively connects molecular models with continuum fluid dynamics. Away from interfaces the framework simplifies to the isothermal Navier–Stokes equations. We employ Maxwell–Stefan diffusion with a generalized driving force to model diffusive molecular transport in inhomogeneous systems. For the considered Lennard–Jones truncated and shifted (LJTS) fluid, we utilize a non-local Helmholtz energy functional based on the perturbed truncated and shifted (PeTS) equation of state. The model provides noise-free partial densities and fluxes for the isothermal mass transfer of a LJTS fluid near the interface, as well as profiles of these quantities across the interface. A comparison with non-equilibrium molecular dynamics simulations shows that hydrodynamic DFT accurately predicts mass transfer through the interface, including microscopic phenomena such as the temporary enrichment and repulsion of the light-boiling component at the interface. Combining generalized entropy scaling with generalized Maxwell–Stefan diffusion allows for an accurate description of diffusive molecular transport in the system. This approach accurately captures phase behavior, equilibrium interfaces, and mass transfer through interfaces based on molecular interactions for mixtures of strongly dissimilar components. Our results suggest that hydrodynamic DFT accurately predicts the dynamics of mixtures at vapor–liquid interfaces. This is important for modeling transport processes in fluid systems and porous media — particularly for describing evaporation from pores, which requires accurate modeling of mass transfer through vapor–liquid interfaces. • Hydrodynamic density functional theory connects continuum and molecular modeling. • Maxwell–Stefan equations with generalized driving force for molecular diffusion. • Local transport coefficients from generalized entropy scaling. • Accurate prediction of mass transfer through vapor–liquid interfaces. • Application to ideal and non-ideal mixtures.

International Journal of Heat and Mass TransferVol. 256
University of Stuttgart (DE)
Openalex Percentile: Top 26%
Phase Equilibria and Thermodynamics
0.67
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