Metal-Organic Frameworks with Metal-Catecholates for O2/N2 Separation

Hakan Demir, Samuel J. Stoneburner, Wooseok Jeong, Debmalya Ray, Xuan Zhang, Omar K. Farha, Christopher J. Cramer, J. Ilja Siepmann, Laura Gagliardi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Oxygen and nitrogen are widely produced feedstocks with diverse fields of applications but are primarily obtained via the energy-intensive cryogenic distillation of air. More energy-efficient processes are desirable, and materials such as zeolites and metal-organic frameworks (MOFs) have been studied for air separation. Inspired by recent theoretical work identifying metal-catecholates for enhancement of O2 selectivity MOFs, the computation-ready experimental database of MOF structures was screened to identify promising candidates for incorporation of metal-catecholates. On the basis of structural requirements, preliminary Grand-Canonical Monte Carlo simulations, and further constraints to ensure the computational feasibility, over 5000 structures were eliminated and four MOFs (UiO-66(Zr), Ce-UiO-66, MOF-5, and IRMOF-14) were treated with periodic density functional theory (DFT). Metal-catecholates (Mg, Co, Ni, Zn, and Cd) were selected on the basis of cluster DFT calculations and were added to the shortlisted MOFs. Periodic DFT was used to compute O2 and N2 binding energies near metal-catecholates. We find that the binding energies are primarily dependent on the metals in the metal-catecholates, all of which bind O2 quite strongly (80-258 kJ/mol) and have weaker binding for N2 (3-148 kJ/mol). Of those studied here, Cd-catecholated MOFs are identified as the most promising.

Original languageEnglish (US)
Pages (from-to)12935-12946
Number of pages12
JournalJournal of Physical Chemistry C
Volume123
Issue number20
DOIs
StatePublished - May 23 2019

Bibliographical note

Funding Information:
This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-17ER16362. Computer resources were provided by the Minnesota Supercomputing Institute at the University of Minnesota.

Publisher Copyright:
© 2019 American Chemical Society.

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