Queryable Gaseous Adsorption Properties of Pure Components and Mixtures in Metal–Organic Frameworks
Jui Tu, Chi-Chun Tang, Pi-Chien Chuang, Li-Chiang Lin

TL;DR
This paper introduces a new database for predicting gas adsorption in metal-organic frameworks under various conditions, enabling faster material screening and separation analysis.
Contribution
A novel MPD-based adsorption database that allows reweighting to any pressure and temperature conditions and supports mixture isotherms via IAST.
Findings
MPD-based database enables instant adsorption predictions for CO2, N2, CH4, and CO in 2900 MOFs.
Database supports mixture isotherms for multicomponent separations using IAST.
Structure-performance relationships for separation behavior are uncovered efficiently.
Abstract
Grand canonical Monte Carlo (GCMC) has been the most common simulation method for high-throughput screening of metal–organic frameworks (MOFs) in adsorption applications. However, GCMC results are inevitably limited to specific pressure and temperature conditions, limiting their applicability across the varying conditions in industrial operations. To address this, we develop a macrostate-probability-distribution-based (MPD-based) adsorption database for several key gas molecules (i.e., CO2, N2, CH4, and CO) in approximately 2900 rigid MOF structures. Crucially, MPD computed from flat histogram Monte Carlo can be analytically reweighted to any pressures and temperatures, enabling instant access to adsorption uptakes under any desired conditions. By integrating the ideal adsorbed solution theory (IAST), the database also provides mixture isotherms at user-defined compositions to allow…
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Taxonomy
TopicsMetal-Organic Frameworks: Synthesis and Applications · Carbon Dioxide Capture Technologies · Phase Equilibria and Thermodynamics
