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Accelerating the Pace of Oxygen Evolution Reaction Catalyst Discovery through Megalibraries.
Jin Huang1,2, Zhe Wang1,2, Jiashun Liang3
1Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States.
Researchers explored millions of nanostructures to find cheaper alternatives to iridium catalysts for water splitting. A new RuCoMnCr oxide catalyst shows high activity and stability in proton-exchange membrane water electrolyzers.
Area of Science:
- Materials Science
- Electrochemistry
- Catalysis
Background:
- Iridium (Ir) catalysts are critical for the oxygen evolution reaction (OER) in proton-exchange membrane water electrolyzers (PEMWEs).
- High cost, scarcity, and slow discovery rates of Ir alternatives hinder widespread PEMWE adoption.
- The vast design space for catalysts makes identifying non-Ir alternatives challenging.
Purpose of the Study:
- To accelerate the discovery of non-iridium catalysts for the acidic oxygen evolution reaction (OER).
- To explore a high-throughput screening approach using a "megalibrary" of nanostructures.
- To identify promising alternative catalysts for proton-exchange membrane water electrolyzers (PEMWEs).
Main Methods:
- A "megalibrary" of approximately 156 million distinct nanostructures composed of Ru, Co, Mn, and Cr was synthesized and screened.
- Over 40 RuCoMnCr oxide candidates were selected, scaled up, and their catalytic performance evaluated.
- Correlation between megalibrary screening and macroscopic sample performance was assessed (r = 0.84).
Main Results:
- A novel Ru52Co33Mn9Cr6 oxide catalyst demonstrated high activity for OER.
- In a PEMWE, this catalyst achieved 1.58 V at 1 A/cm² and 1.77 V at 3 A/cm².
- The catalyst exhibited excellent stability, operating over 1000 hours at 1 A/cm² with minimal voltage increase (57 μV/h).
Conclusions:
- This study presents a successful strategy for rapid catalyst discovery using a high-throughput screening platform.
- The developed RuCoMnCr oxide catalyst is a promising, cost-effective alternative to iridium for PEMWEs.
- The platform generates large datasets to facilitate AI and machine learning in catalyst design for energy conversion.
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