(175g) Computational Database of Metal-Oxide Surface Reactivities for Catalyst Design | AIChE

(175g) Computational Database of Metal-Oxide Surface Reactivities for Catalyst Design

Authors 

Bajdich, M. - Presenter, SLAC STANFORD
Vojvodic, A., Stanford U. & SLAC National Accelerator Laboratory
Norskov, J. K., SUNCAT Center for Interface Science and Catalysis, Stanford University and SLAC National Accelerator Laboratory

We study surface reactivity of low index facets of rocksalt type Alkaline-Earth and first row transition metal oxide groups using small atoms and molecules (O, OH, CO, NO) .The computed database of adsorption and activation energies will be used to identify possible correlations with other quantities such as surface energies or electronic structure in order to establish scaling relations for future high-throughput screening efforts. A comparison will be made between DFT functionals of various levels of accuracy, e.g., GGA, GGA+U, GGA+vdW and GGA-hybrid, meta-GGA and hybrid meta-GGA, and compared to available experiments. This effort is part of the ``Predictive Theory of Transition Metal Oxide Catalysis'' funded through the DOE Materials Genome Project.

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