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Surface Adsorption Energetics Studied with “Gold Standard” Wave-Function-Based Ab Initio Methods: Small-Molecule Binding to TiO2(110)

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Kubas,  Adam
Research Department Neese, Max Planck Institute for Chemical Energy Conversion, Max Planck Society;

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Maganas,  Dimitrios
Research Department Neese, Max Planck Institute for Chemical Energy Conversion, Max Planck Society;

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Neese,  Frank
Research Department Neese, Max Planck Institute for Chemical Energy Conversion, Max Planck Society;

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Citation

Kubas, A., Berger, D., Oberhofer, H., Maganas, D., Reuter, K., & Neese, F. (2016). Surface Adsorption Energetics Studied with “Gold Standard” Wave-Function-Based Ab Initio Methods: Small-Molecule Binding to TiO2(110). The Journal of Physical Chemistry Letters, 7(20), 4207-4212. doi:10.1021/acs.jpclett.6b01845.


Cite as: https://hdl.handle.net/21.11116/0000-0007-82E4-4
Abstract
Coupled-cluster theory with single, double, and perturbative triple excitations (CCSD(T)) is widely considered to be the “gold standard” of ab initio quantum chemistry. Using the domain-based pair natural orbital local correlation concept (DLPNO-CCSD(T)), these calculations can be performed on systems with hundreds of atoms at an accuracy of ∼99.9% of the canonical CCSD(T) method. This allows for ab initio calculations providing reference adsorption energetics at solid surfaces with an accuracy approaching 1 kcal/mol. This is an invaluable asset, not least for the assessment of density functional theory (DFT) as the prevalent approach for large-scale production calculations in energy or catalysis applications. Here we use DLPNO-CCSD(T) with embedded cluster models to compute entire adsorbate potential energy surfaces for the binding of a set of prototypical closed-shell molecules (H2O, NH3, CH4, CH3OH, CO2) to the rutile TiO2(110) surface. The DLPNO-CCSD(T) calculations show excellent agreement with available experimental data, even for the “infamous” challenge of correctly predicting the CO2 adsorption geometry. The numerical efficiency of the approach is within 1 order of magnitude of hybrid-level DFT calculations, hence blurring the borders between reference and production technique.