To
investigate metal oxide surface catalysis, determining an appropriate
Hubbard U-correction term is a challenge for the
density functional theory (DFT) community and identifying realistic
reaction intermediates and their corresponding X-ray photoelectron
spectroscopy (XPS) shifts is a challenge for experimental researchers,
when these methods are used independently. In this study, using CuO
as a model transition metal oxide, we demonstrate that when DFT and
XPS are applied synergistically, the determination of the U value and the identification of adsorbate/intermediate
species on the surface (and their XPS shifts) can be done simultaneously.
The experimental O 1s spectra of the as-synthesized CuO 2D-nanoleaves
shows the presence of four different peaks with core level binding
energies (CLBEs) of 529.7, 531.4, 533.2, and 534.6 eV. DFT is used
to calculate the CLBE shifts for probable adsorbed moieties, in various
adsorption configurations, on both, clean and vacancy defect containing
surfaces. Comparison of experimental and theoretical CLBEs across
the entire U value range of 0–9 eV narrows
down the list to only four moieties, namely, O2 in the
η1(O) configuration, H2O at the surface
oxygen vacancy site, and adsorbed HCO3 and HCO2 (resembling adsorbed HCO3). Finally, the U value of 4–4.5 eV reproduces the experimental CLBE shifts
correctly and thus, establishes these experimental XPS spectral peaks
to the adsorbates and their geometries. The integrated approach elucidated
in this article, results in the identification of adsorbates/intermediates
(and their CLBEs) for the experimental XPS spectral analysis and the
determination of an appropriate U value concurrently,
to study metal oxide surface catalysis.