In 2021, Svante, in collaboration with BASF, reported successful scale up of CALF-20 production, a stable MOF with high capacity for post-combustion CO capture which exhibits remarkable stability towards water. CALF-20's success story in the MOF commercialisation space provides new thinking about appropriate structural and adsorptive metrics important for CO capture. Here, we combine atomistic-level simulations with experiments to study adsorptive properties of CALF-20 and shed light on its flexible crystal structure. We compare measured and predicted CO and water adsorption isotherms and explain the role of water-framework interactions and hydrogen bonding networks in CALF-20's hydrophobic behaviour. Furthermore, regular and enhanced sampling molecular dynamics simulations are performed with both density-functional theory (DFT) and machine learning potentials (MLPs) trained to DFT energies and forces. From these simulations, the effects of adsorption-induced flexibility in CALF-20 are uncovered. We envisage this work would encourage development of other MOF materials useful for CO capture applications in humid conditions.
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http://dx.doi.org/10.1038/s41467-024-48136-0 | DOI Listing |
Chem Commun (Camb)
December 2024
Faculty of Chemistry, Adam Mickiewicz University, 61-614 Poznań, Poland.
Nat Commun
May 2024
Department of Chemical Engineering, University College London, London, WC1E 7JE, UK.
In 2021, Svante, in collaboration with BASF, reported successful scale up of CALF-20 production, a stable MOF with high capacity for post-combustion CO capture which exhibits remarkable stability towards water. CALF-20's success story in the MOF commercialisation space provides new thinking about appropriate structural and adsorptive metrics important for CO capture. Here, we combine atomistic-level simulations with experiments to study adsorptive properties of CALF-20 and shed light on its flexible crystal structure.
View Article and Find Full Text PDFNat Commun
April 2024
ICGM, Univ. Montpellier, CNRS, ENSCM, Montpellier, 34095, France.
CALF-20 was recently identified as a benchmark sorbent for CO capture at the industrial scale, however comprehensive atomistic insight into its mechanical/thermal properties under working conditions is still lacking. In this study, we developed a general-purpose machine-learned potential (MLP) for the CALF-20 MOF framework that predicts the thermodynamic and mechanical properties of the structure at finite temperatures within first-principles accuracy. Interestingly, CALF-20 was demonstrated to exhibit both negative area compression and negative thermal expansion.
View Article and Find Full Text PDFChem Sci
October 2023
ICGM, Université de Montpellier, CNRS, ENSCM Montpellier 34293 France
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