Two desorption components of product CO2 in steady-state CO oxidation on Pd(110)

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Publication Date
DOI 10.1039/A903458G
Impact Factor 3.676
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Abstract

The velocity and angular distributions of desorbing product CO2 were studied in steady-state CO oxidation on Pd(110) by means of cross-correlation time-of-flight techniques. CO2 desorption was always collimated along the surface-normal direction. The velocity distribution curves involved two desorption components, a fast one and a slow one. The former showed translational temperatures above 2300 K and was suddenly suppressed above a critical CO pressure at which CO retarded the reaction. On the other hand, the latter showed a Maxwellian distribution at the surface temperature and was not suddenly suppressed around the critical CO pressure, decreasing slowly at higher CO pressures. Below the critical CO pressure, the fraction of this component was around 0.3, and above it, the value abruptly increased to approximately 0.9. The slow component appears to be formed on sites which are suitable for oxygen dissociation, such as structural defects.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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