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Discovery of Acid-Stable Oxygen Evolution Catalysts : High-throughput Computational Screening of Equimolar Bimetallic Oxides

preprint
submitted on 09.04.2020 and posted on 10.04.2020 by Seoin Back, Kevin Tran, Zachary Ulissi
Discovering acid-stable, cost-effective and active catalysts for oxygen evolution reaction (OER) is critical since this reaction is bottlenecking many electrochemical energy conversion systems. Current systems use extremely expensive iridium oxide catalysts. Identifying Ir-free or catalysts with reduced Ir-composition has been suggested as goals, but no systematic strategy to discover such catalysts has been reported. In this work, we performed high-throughput computational screening to investigate bimetalic oxide catalysts with space groups derived from those of IrO$_x$, identified promising OER catalysts predicted to satisfy all the desired properties: Co-Ir, Fe-Ir and Mo-Ir bimetallic oxides. We find that for the given crystal structures explored, it is essential to include noble metals to maintain the acid-stability, although one-to-one mixing of noble and non-noble metal oxides could keep the materials survive under the acidic conditions. Based on the calculated results, we provide insights to efficiently perform future high-throughput screening to discover catalysts with desirable properties.

History

Email Address of Submitting Author

sback@sogang.ac.kr

Institution

Sogang University

Country

Korea

ORCID For Submitting Author

0000-0003-4682-0621

Declaration of Conflict of Interest

None

Exports