Eliminating Delocalization Error to Improve Heterogeneous Catalysis Predictions with Molecular DFT + U.
@article{Bajaj2021EliminatingDE, title={Eliminating Delocalization Error to Improve Heterogeneous Catalysis Predictions with Molecular DFT + U.}, author={Akash Bajaj and Heather J. Kulik}, journal={Journal of chemical theory and computation}, year={2021} }
Approximate semilocal density functional theory (DFT) is known to underestimate surface formation energies yet paradoxically overbind adsorbates on catalytic transition-metal oxide surfaces due to delocalization error. The low-cost DFT + U approach only improves surface formation energies for early transition-metal oxides or adsorption energies for late transition-metal oxides. In this work, we demonstrate that this inefficacy arises due to the conventional usage of metal-centered atomic…
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