Accelerated Computational Analysis of Metal-Organic Frameworks for Oxidation Catalysis

Konstantinos D. Vogiatzis, Emmanuel Haldoupis, Dianne J. Xiao, Jeffrey R. Long, J. Ilja Siepmann, Laura Gagliardi

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

High-spin iron(IV)-oxo compounds are known to activate strong C-H bonds. Stabilizing the high-spin S = 2 electronic configuration is difficult in molecular species for homogeneous catalysis, but recent experimental and computational results suggest this can be achieved in the metal-organic framework Fe2(dobdc) (dobdc4- = 2,5-dioxido-1,4-benzenedicarboxylate) and its magnesium-diluted analogues. With a novel computational screening approach, we have identified three additional frameworks that are predicted to form high-spin iron(IV)-oxo species upon dissociative adsorption of nitrous oxide. The computational work is supported by follow-up experiments which show that, among these three materials, Fe-BTT (BTT3- = 1,3,5-benzenetristetrazolate) selectively oxidizes ethane to ethanol at 120 °C. Subsequent spectroscopic and cycling studies suggest that framework defects, rather than the bulk framework or extraframework sites, are likely responsible for the observed reactivity. This work shows how computational methods can be used to rapidly identify promising candidate frameworks, and highlights the need for new methods that allow defect sites in metal-organic frameworks to be better understood and exploited for catalysis.

Original languageEnglish (US)
Pages (from-to)18707-18712
Number of pages6
JournalJournal of Physical Chemistry C
Volume120
Issue number33
DOIs
StatePublished - Aug 25 2016

Bibliographical note

Funding Information:
This research was carried out within the Nanoporous Materials Genome Center, which is supported by the Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences under Award DE-FG02- 12ER16362. This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DEAC02- 06CH11357. The authors acknowledge the Minnesota Supercomputing Institute at the University of Minnesota for providing resources that contributed to the research results reported within this paper. We thank Prachi Sharma (UMN) for useful discussion.

Fingerprint Dive into the research topics of 'Accelerated Computational Analysis of Metal-Organic Frameworks for Oxidation Catalysis'. Together they form a unique fingerprint.

Cite this