Re-thinking CO adsorption on transition-metal surfaces: Density-driven error?
Abhirup Patra, Haowei Peng, Jianwei Sun, and John P. Perdew

TL;DR
This study investigates the errors in density functional theory calculations of CO adsorption on transition-metal surfaces, revealing that density-driven self-interaction errors significantly affect predictions, and proposing density correction methods to improve accuracy.
Contribution
The paper demonstrates that errors in CO adsorption predictions are density-driven and shows how using corrected densities can improve results, addressing the longstanding CO/Pt(111) puzzle.
Findings
SCAN overbinds less than LDA but more than PBE
Incorrect site predictions are linked to density-driven errors
Using corrected densities improves adsorption energy and site preference
Abstract
Adsorption of the molecule CO on metallic surfaces is an important unsolved problem in Kohn-Sham density functional theory (KS-DFT). We present a detailed study of carbon monoxide adsorption on fcc (111) surfaces of 3d, 4d and 5d metals using nonempirical semilocal density functionals for the exchange-correlation energy: the local-density approximation (LDA), two generalized gradient approximations or GGAs (PBE and PBEsol), and a meta-GGA (SCAN). The typical error pattern (as found earlier for free molecules and for free transition metal surfaces), in which results improve from LDA to PBE or PBEsol to SCAN, due to the satisfaction of more exact constraints, is not found here. Instead, for CO adsorption on transition metal surfaces, we find that, while SCAN overbinds much less than LDA, it overbinds slightly more than PBE. Moreover, the tested functionals often predict the wrong…
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