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Accelerating the discovery of active and selective CO2RR catalysts using a high-throughput virtual screening strategy
ChemistryNature Communications

Accelerating the discovery of active and selective CO2RR catalysts using a high-throughput virtual screening strategy

D. H. Mok, H. Lee, et al.

Discover how D. H. Mok, H. Lee, G. Zhang, C. Li, Kun Jiang, and Seoin Back developed a high-throughput virtual screening workflow that utilizes machine learning to identify promising catalysts for CO2 reduction reactions, accelerating the fight against climate change.... show more
Abstract
Publisher
Nature Communications
Published On
Oct 26, 2023
Authors
D. H. Mok, H. Lee, G. Zhang, C. Li, Kun Jiang, Seoin Back
Tags
CO2 reductioncatalystsmachine learninghigh-throughput virtual screeningselectivity mapsclimate changechemical space
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