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Benchmarking Computational Alchemy for Carbide, Nitride, and Oxide Catalysts

preprint
submitted on 24.09.2018 and posted on 24.09.2018 by Charles D. Griego, Karthikeyan Saravanan, John Keith

Kohn-Sham density functional theory (DFT)-based searches for hypothetical catalysts are too computationally demanding for wide searches through diverse materials space. Our group has been critically evaluating the performance of an alternative computational method called computational alchemy. An advantage with this method is that it effectively brings no computational cost once a single DFT reference calculation is made. Extending from our 2017 publication in J. Phys. Chem. Lett (DOI: 10.1021/acs.jpclett.7b01974) that tested computational alchemy for transition metal alloys, we now assess the accuracy of computational alchemy schemes on carbides, nitrides, and oxides.

Funding

Acknowledgment is also made to the donors of The American Chemical Society Petroleum Research Fund (#55595-DNI4) and the National Science Foundation (CBET-1653392).

History

Email Address of Submitting Author

jakeith@pitt.edu

Institution

University of Pittsburgh

Country

USA

ORCID For Submitting Author

0000-0002-6583-6322

Declaration of Conflict of Interest

No conflict of interest.

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