CO$_2$ Dissociative Sticking on Cu(110)
Federico J. Gonzalez, Carmen A. Tachino, H. Fabio Busnengo

TL;DR
This study uses density functional theory and neural network-parameterized potential energy surfaces to analyze CO$_2$ dissociation on Cu(110), revealing energy-dependent surface distortions and structures consistent with experimental observations.
Contribution
It introduces a combined computational approach to model CO$_2$ dissociation on Cu(110), capturing detailed surface dynamics and product structures at various energies and temperatures.
Findings
Dissociation probabilities agree with experimental data.
Surface distortions and Cu adatom formation occur at high impact energies.
High-energy dissociation leads to complex surface structures and increased oxygen coverage.
Abstract
In this work we investigate the dissociation of CO on Cu(110) by performing density functional theory calculations using the vdW-DF2 exchange-correlation functional, with a potential energy surface parameterized using artificial neural networks. We computed quasi-classical trajectory calculations of molecular and dissociative adsorption probabilities as a function of the initial impact energy of the molecules and surface temperature, by comparing our results with available supersonic molecular beam experimental data for normal incidence. Concerning the general dependence of the molecular and dissociative adsorption probabilities on the initial translational energy of the molecules, our theoretical results agree with experiments. Also in agreement with experiments, we have found that dissociative adsorption is not affected by surface temperature between 50 and 400 K, for impact…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Advanced Physical and Chemical Molecular Interactions
