2017
DOI: 10.1021/acsami.7b02195
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Optimizing Open Iron Sites in Metal–Organic Frameworks for Ethane Oxidation: A First-Principles Study

Abstract: Activation of the C-H bonds in ethane to form ethanol is a highly desirable, yet challenging, reaction. Metal-organic frameworks (MOFs) with open Fe sites are promising candidates for catalyzing this reaction. One advantage of MOFs is their modular construction from inorganic nodes and organic linkers, allowing for flexible design and detailed control of properties. In this work, we studied a series of single-metal atom Fe model systems with ligands that are commonly used as MOF linkers and tried to understand… Show more

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Cited by 58 publications
(110 citation statements)
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“…Motivated by similar schemes for computational catalysis screening of bulk metals and alloys, the general approach for HT‐DFT of MOF catalysts can be outlined as follows: Determine a set of catalytic descriptors that can be used to correlate catalytic activity with readily computed quantities, such as those based on adsorption energies, reaction energies, or electronic structure properties Identify or construct a dataset of MOF crystal structures to study.…”
Section: General Schemementioning
confidence: 99%
“…Motivated by similar schemes for computational catalysis screening of bulk metals and alloys, the general approach for HT‐DFT of MOF catalysts can be outlined as follows: Determine a set of catalytic descriptors that can be used to correlate catalytic activity with readily computed quantities, such as those based on adsorption energies, reaction energies, or electronic structure properties Identify or construct a dataset of MOF crystal structures to study.…”
Section: General Schemementioning
confidence: 99%
“…Though strictly speaking not a materials characterisation method, increasingly sophisticated systems increasingly rely on supporting understanding of characterisation techniques by computational modelling. This is none the least relevant for catalytic reactions, including single‐site catalysts, an area that has undergone a tremendous amount of progress thanks to method development, increased computational power . Computationally assessing catalytic activity by relating it to descriptors instead of calculating the activation energies of elementary reaction steps in heterogeneous catalytic reactions has been significantly relying on screening linear free energy relationships (LFERs), or linear scaling relations .…”
Section: Identification Of Fenx Single Sitesmentioning
confidence: 99%
“…This is none the least relevant for catalytic reactions, including single-site catalysts, an area that has undergone a tremendous amount of progress thanks to method development, increased computational power. [148][149][150][151][152][153][154][155][156][157][158][159][160] Computationally assessing catalytic activity by relating it to descriptors instead of calculating the activation energies of elementary reaction steps in heterogeneous catalytic reactions has been significantly relying on screening linear free energy relationships (LFERs), or linear scaling relations. [161][162][163][164][165][166][167][168][169] However, the direct transposition of LFER on the single-site systems is problematic as the simple models used for bulk metal systems are not satisfactory to describe directional metal-ligand bonds.…”
Section: Advanced Characterisation Of Fen X Single Site (Ssc) Catalystsmentioning
confidence: 99%
“…[4][5][6] In spite of continuous and intensee fforts in this area, the larger obstacles include the relativelys trong saturated hydrocarbons (bond dissociation energy of 431 kJ mol À1 for CH 4 )a nd the ubiquitous natureo f the CÀHb ond, which lead to the inertness of saturated CÀH bonds and selectivity issues. [7][8][9] These limitations greatlyr estrict the application of CÀHa ctivation in industry.T herefore, the development of efficient, stable, and selective catalysts for the activation of the inert apolar CÀH s bonds is supposed to be ad irect andf easible approacht oa ddress this question.I t, however,i ss till af ormidable task.…”
Section: Introductionmentioning
confidence: 99%