The Journal of Physical Chemistry C · 2016 · 12 citations · 25 references
Natural SciencesChemical EngineeringChemistryCatalysisPhysical ChemistryTheoretical ChemistryAb Initio MethodsCatalytic Reaction KineticsCluster ChemistryDensity Functional TheoryNitrogen OxidesRedox CatalysisDensity Functional Theory In CatalysisElectronic Structure AnalysisGreenhouse Gas EmissionsNitrogen Reduction ReactionNitrous OxideOxygen Reduction CatalystsOxygen Reduction ReactionReaction Activation Barriers
The catalytic conversion of nitrous oxide (N 2 O) is of crucial environmental relevance because this chemical compound is a greenhouse gas with an important contribution to climate change, even larger than CO 2, depleting the ozone layer. Recently, reduction of N 2 O catalyzed by rhodium subnanoclusters has been the subject of intensive research, both experimental and theoretical, finding dependencies of reaction rate on the size and geometry and electronic structure of the cluster. In this work, the catalytic reduction mechanism of N 2 O by Rh 6 – and Rh 6 + ionic clusters has been studied by means of density functional theory calculations within the zero-order-regular approximation (ZORA), which explicitly includes relativistic effects. The N 2 O + Rh 6 – and N 2 O + Rh 6 + reaction pathways were approached starting from a comprehensive search of different stable adsorption modes; transition states were determined as well. We have obtained that the Rh 6 – anions present the lowest activation barriers without spin selectivity. The N 2 O reduction pathway on the Rh 6 – anion was more favorable that the simple desorption channel, whereas on Rh 6 + both channels are in competition, as was experimentally observed. The N 2 O reduction on Rh 6 – and Rh 6 + is sensitive to the charge; it seems to be independent of geometry.
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Generalized Gradient Approximation Made Simple
John P. Perdew, Kieron Burke, Matthias Ernzerhof · Physical Review Letters · 1996 · 211.5K citations · Full text
Natural Sciences, Chemistry, Physics +16
G. te Velde, F. Matthias Bickelhaupt, Evert Jan Baerends et al. · Journal of Computational Chemistry · 2001 · 10K citations
Natural Sciences, Chemistry, Physics +17