Isabel Cooley
Computational Predictions for Effective Separation of Xenon/Krypton Gas Mixtures in the MFM Family of Metal-Organic Frameworks
Cooley, Isabel; Efford, Louise; Besley, Elena
Authors
Louise Efford
Professor ELENA BESLEY ELENA.BESLEY@NOTTINGHAM.AC.UK
Professor of Theoretical Computational Chemistry
Abstract
This study shows that a range of separation applications for the MFM family of metal-organic frameworks (MOFs) can be expanded to include effective separations of Xe/Kr binary gas mixtures. The MFM family of copper paddlewheel-based, isoreticular MOFs has shown previously an excellent performance for CO2/CH4 and CO2/N2 gas separations. The proposed new function aids the development of this MOF series into a multiuse functional material. Xe/Kr separation is a critical step in production of the noble gases from air and in revalorizing xenon isotopes produced by a nuclear reactor. A complete analysis of Xe and Kr uptake and selectivity is presented, which also includes predictions of binding affinity of the guest atoms.
Citation
Cooley, I., Efford, L., & Besley, E. (2022). Computational Predictions for Effective Separation of Xenon/Krypton Gas Mixtures in the MFM Family of Metal-Organic Frameworks. Journal of Physical Chemistry C, 126(28), 11475-11486. https://doi.org/10.1021/acs.jpcc.2c02237
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 20, 2022 |
Online Publication Date | Jul 7, 2022 |
Publication Date | Jul 21, 2022 |
Deposit Date | Jul 19, 2022 |
Publicly Available Date | Jul 22, 2022 |
Journal | Journal of Physical Chemistry C |
Print ISSN | 1932-7447 |
Electronic ISSN | 1932-7455 |
Publisher | American Chemical Society (ACS) |
Peer Reviewed | Peer Reviewed |
Volume | 126 |
Issue | 28 |
Pages | 11475-11486 |
DOI | https://doi.org/10.1021/acs.jpcc.2c02237 |
Keywords | Surfaces, Coatings and Films; Physical and Theoretical Chemistry; General Energy; Electronic, Optical and Magnetic Materials |
Public URL | https://nottingham-repository.worktribe.com/output/8857221 |
Publisher URL | https://pubs.acs.org/doi/10.1021/acs.jpcc.2c02237 |
Files
Computational Predictions for Effective Separation of Xenon/Krypton
(9 Mb)
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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