Affiliation:
1. Georgia Institute of Technology 311 Ferst Dr NW Atlanta GA 30332 United States
2. SUNCAT Center for Interface Science and Catalysis 443 Via Ortega Stanford CA 94305 United States SLAC National Accelerator Laboratory 2575 Sand Hill Road Mail Stop 31 Menlo Park California 94025 United States
3. Now at Shell Global Solutions (United States) Inc Houston, TX United States
Abstract
AbstractPhotocatalytic nitrogen fixation has the potential to provide a greener route for producing nitrogen‐based fertilizers under ambient conditions. Computational screening is a promising route to discover new materials for the nitrogen fixation process, but requires identifying “descriptors” that can be efficiently computed. In this work, we argue that selectivity toward the adsorption of molecular nitrogen and oxygen can act as a key descriptor. A catalyst that can selectively adsorb nitrogen and resist poisoning of oxygen and other molecules present in air has the potential to facilitate the nitrogen fixation process under ambient conditions. We provide a framework for active site screening based on multifidelity density functional theory (DFT) calculations for a range of metal oxides, oxyborides, and oxyphosphides. The screening methodology consists of initial low‐fidelity fixed geometry calculations and a second screening in which more expensive geometry optimizations were performed. The approach identifies promising active sites on several TiO2 polymorph surfaces and a VBO4 surface, and the full nitrogen reduction pathway is studied with the BEEF‐vdW and HSE06 functionals on two active sites. The findings suggest that metastable TiO2 polymorphs may play a role in photocatalytic nitrogen fixation, and that VBO4 may be an interesting material for further studies.
Funder
National Science Foundation
Subject
General Energy,General Materials Science,General Chemical Engineering,Environmental Chemistry
Cited by
2 articles.
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