Application of Statistical Lattice Models to the Analysis of Oscillatory and Autowave Processes in the Reaction of Carbon Monoxide Oxidation over Platinum and Palladium Surfaces

Abstract

Statistical lattice models which imitate oscillatory and wave dynamics in the adsorbed layer during of carbon monoxide oxidation over Pt(100) and Pd(110) single crystals differing in the mechanism of autooscillation formation are compared. In the case of platinum, oscillations are due to phase transitions of the catalyst surface structure and surface reconstruction under the action of the reaction medium. In the case of palladium, the driving force of oscillations is phase transitions in the adsorbed layers on the catalyst surface, namely, the reversible formation of subsurface oxygen in the course of the reaction, which modifies the adsorption and catalytic properties of the surface. It is shown that, according to the proposed models, a change in the coverages (CO_ads ↔ O_ads) in the autooscillation regimes occurs via the formation of a surface wave whose front is characterized by the high concentration of catalytically active sites that provide the maximal rate of CO₂ molecule formation. Under certain conditions, the formation of various spatiotemporal structures is observed in simulation experiments.