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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Data for process-level screening of metal-organic frameworks for adsorption separation using 3D classical density functional theory

Authors: Granderath, Marcel; Rehner, Philipp; Gross, Joachim; Dufour Decieux, Vincent; Bardow, André;

Data for process-level screening of metal-organic frameworks for adsorption separation using 3D classical density functional theory

Abstract

This repository contains the parameters and results for the process-level screening of metal-organic frameworks (MOFs) for methane/nitrogen separation using 3D classical density functional theory (cDFT). The folders are organized as follows: adsorption: parameters for the adsorption calculations (PC-SAFT, Peng-Robinson, UFF) cDFT_CoRE_MOF_isotherms: adsorption isotherms for the CoRE MOF 2025 database from 3D cDFT cDFT_PrISMa_isotherms: adsorption isotherms for the PrISMa database from 3D cDFT CoRE_MOF_binary_isotherm_validation: binary isotherms for the validation of the best MOFs both from GCMC simulations and 3D cDFT GCMC: Settings for the binary GCMC simulations and binary adsorption isotherms for the PrISMa database pore_blocking: pore blocking files for the PrISMa and the CoRE MOF 2025 databases Process_simulations_CoRE_MOF: process simulation results and evaluations for the CoRE MOF 2025 database Process_simulations_PrISMa: process simulation results and evaluations for the PrISMa database zeoplusplus: parameters for the Zeo++ calculations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average