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Ab Initio Prediction of Metal-Organic Framework Structures

preprint
revised on 10.06.2019 and posted on 10.06.2019 by James P. Darby, Mihails Arhangelskis, Athanassios D. Katsenis, Joseph Marrett, Tomislav Friscic, Andrew J. Morris
Metal-organic frameworks (MOFs) have emerged as highly versatile materials with applications in gas storage and separation, solar light energy harvesting and photocatalysis. The design of new MOFs, however, has been hampered by the lack of computational methods for ab initio crystal structure prediction, which could be used to direct experimental synthesis. Here we report the first ab intio method for MOF structure prediction, and test it against a diverse set of MOFs, with differences in topology, metal coordination geometry and ligand binding sites. In all cases our calculations produced structures which match experiment, proving the versatility of our procedure for MOF structure prediction. With our new methodology for ab initio structure prediction, current approaches to MOF design are set to change towards a more sustainable theory-driven materials development.

Funding

SIMS scholarship

Birmingham Fellowship

NSERC Discovery Grant (RGPIN-2017-06467)

NSERC E. W. R. Steacie Fellowship (SMFSU 507347-17)

NSERC Strategic Grant (STPGP 521582-18)

EPSRC Capital Grant (EP/P020259/1)

EPSRC Grant (EP/P022561/1)

Compute Canada / Calcul Canada

Natural Sciences and Engineering Research Council

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Calcul Québec

Fonds de Recherche du Québec – Nature et technologies

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History

Email Address of Submitting Author

mihails.arhangelskis@mcgill.ca

Institution

Department of Chemistry, McGill University

Country

Canada

ORCID For Submitting Author

0000-0003-1150-3108

Declaration of Conflict of Interest

The authors have no conflicts of interest to declare

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