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A computational study of water in UiO‐66 Zr‐MOFs: Diffusion, hydrogen bonding network, and confinement effect
Biological and Materials Engineering, University of Oklahoma, School of Chemical, Norman, Oklahoma, USA. State Key Laboratory of Material‐Oriented Chemical Engineering, Nanjing Tech University, Nanjing, P. R. China.
Biological and Materials Engineering, University of Oklahoma, School of Chemical, Norman, Oklahoma, USA.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-3201-8323
Biological and Materials Engineering, University of Oklahoma, School of Chemical, Norman, Oklahoma, USA.
2021 (English)In: AIChE Journal, ISSN 0001-1541, E-ISSN 1547-5905, Vol. 67, no 3, article id e17035Article in journal (Refereed) Published
Abstract [en]

For chemical warfare agent removal, the humidity emerges as an unavoidable challenge that significantly affects the performance of metal–organic frameworks. In this work, via density functional theory calculations, ab initio molecular dynamics and classical molecular dynamics simulations, we investigate the structural and diffusion properties of water in the pristine defect‐free UiO‐66, one Zr‐based metal–organic framework. Through the detailed analyses of the distribution probability of water in two different cages of UiO‐66, the binding interaction between water and UiO‐66, the hydrogen bonding networks and resulted localized water clusters, we gain a fundamental understanding of structural and dynamics properties as well as the concentration dependence of water in UiO‐66. We anticipate those theoretical results could provide insight to the competitive adsorption of water and chemical warfare agents, which eventually shows the utmost importance for the design and development of the next generation porous materials with appropriate water properties in real‐life applications.

Place, publisher, year, edition, pages
John Wiley & Sons, 2021. Vol. 67, no 3, article id e17035
Keywords [en]
confinement effect, hydrogen bond network, molecular simulation, UiO‐66, water cluster
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-80618DOI: 10.1002/aic.17035ISI: 000569741200001Scopus ID: 2-s2.0-85091018416OAI: oai:DiVA.org:ltu-80618DiVA, id: diva2:1462591
Note

Validerad;2021;Nivå 2;2021-03-01 (alebob);

Finansiär: DTRA (HDTRA11910008)

Available from: 2020-08-31 Created: 2020-08-31 Last updated: 2021-03-01Bibliographically approved

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Sun, Yunhao

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