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Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory

Year: 2026
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide We demonstrate that classical density functional theory (DFT) based on the PC-SAFT equation of state is a fast, accurate, and predictive model to predict multicomponent adsorption in porous materials, which is an essential step toward the design of next-generation adsorbents for relevant applications. Using GPU acceleration, adsorption isotherms and adsorption enthalpies can be obtained in a matter of seconds, which is several orders of magnitude faster than grand canonical Monte Carlo (GCMC) simulations. Using metal–organic frameworks as adsorbents and non- or weakly polar molecules as adsorbates, we validate our approach by performing GCMC simulations for binary, ternary, and quaternary mixtures with practically relevant applications, such as noble gas separations (Kr/Xe, Ar/Kr/Xe), direct dry air capture (CO 2 /N 2 ), hydrogen enrichment (CH 4 /H 2, CH 4 /H 2 /N 2 ) and adsorbed natural gas (CH 4 /C 3 H 8, CH 4 /C 2 H 6 /C 3 H 8, CH 4 /C 2 H 6 /C 3 H 8 /N 2 ). Classical DFT reproduces loadings and adsorption enthalpies of the mixtures in close agreement with results from GCMC simulations. Thus, classical DFT expands our toolbox for studying multicomponent adsorption.
Language: English
Field: Chemistry
Open Access status: hybrid
OpenAlex ID: W7127892917
FWCI: 6.665
Cites: 69
Cited by: 5
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