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A Linear Scaling Relation for CO Oxidation on CeO(2)-Supported Pd
[Image: see text] Resolving the structure and composition of supported nanoparticles under reaction conditions remains a challenge in heterogeneous catalysis. Advanced configurational sampling methods at the density functional theory level are used to identify stable structures of a Pd(8) cluster on...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890314/ https://www.ncbi.nlm.nih.gov/pubmed/29498273 http://dx.doi.org/10.1021/jacs.7b13624 |
Sumario: | [Image: see text] Resolving the structure and composition of supported nanoparticles under reaction conditions remains a challenge in heterogeneous catalysis. Advanced configurational sampling methods at the density functional theory level are used to identify stable structures of a Pd(8) cluster on ceria (CeO(2)) in the absence and presence of O(2). A Monte Carlo method in the Gibbs ensemble predicts Pd-oxide particles to be stable on CeO(2) during CO oxidation. Computed potential energy diagrams for CO oxidation reaction cycles are used as input for microkinetics simulations. Pd-oxide exhibits a much higher CO oxidation activity than metallic Pd on CeO(2). This work presents for the first time a scaling relation for a CeO(2)-supported metal nanoparticle catalyst in CO oxidation: a higher oxidation degree of the Pd cluster weakens CO binding and facilitates the rate-determining CO oxidation step with a ceria O atom. Our approach provides a new strategy to model supported nanoparticle catalysts. |
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