CO adsorption on close-packed transition and noble metal surfaces: Trends from ab-initio calculations
M. Gajdos, A. Eichler, J. Hafner

TL;DR
This study uses density functional theory to analyze trends in CO adsorption on various close-packed metal surfaces, evaluating how computational choices affect predicted energies, geometries, and site preferences.
Contribution
It provides a comprehensive assessment of how different DFT functionals and computational parameters influence CO adsorption predictions on transition and noble metal surfaces.
Findings
Geometrical and vibrational properties are highly accurate.
Adsorption energies are overestimated with certain functionals.
Incorrect site preferences predicted for some metals.
Abstract
We have studied the trends in CO adsorption on close-packed metal surfaces: Co, Ni, Cu from the 3d row, Ru, Rh, Pd, Ag from the 4d row and Ir, Pt, Au from the 5d row using density functional theory. In particular, we were concerned with the trends in the adsorption energy, the geometry, the vibrational properties and other parameters derived from the electronic structure of the substrate. The influence of specific changes in our setup such as choice of the exchange correlation functional, the choice of pseudopotential and size of the basis set, substrate relaxation has been carefully evaluated. We found that while the geometrical and vibrational properties of the adsorbate-substrate complex are calculated with high accuracy, the adsorption energies calculated with the gradient-corrected Perdew-Wang exchange-correlation energies are overestimated. In addition, the calculations tend to…
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