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A Linear Scaling Relation for CO Oxidation on CeO2-Supported Pd
Author(s) -
JinXun Liu,
Yaqiong Su,
Ivo A. W. Filot,
Emiel J. M. Hensen
Publication year - 2018
Publication title -
journal of the american chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.115
H-Index - 612
eISSN - 1520-5126
pISSN - 0002-7863
DOI - 10.1021/jacs.7b13624
Subject(s) - chemistry , scaling , palladium , relation (database) , inorganic chemistry , catalysis , organic chemistry , geometry , mathematics , computer science , database
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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