JOURNAL ARTICLE

Machine learning assisted prediction of copper-based catalysts towards carbon dioxide electroreduction into carbon monoxide

Keywords:
Copper Catalysis Carbon monoxide Chemistry Inorganic chemistry Electrolyte Carbon dioxide Selectivity Substrate (aquarium) Chemical engineering Electrode Physical chemistry Organic chemistry

Metrics

4
Cited By
0.73
FWCI (Field Weighted Citation Impact)
55
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

CO2 Reduction Techniques and Catalysts
Physical Sciences →  Energy →  Renewable Energy, Sustainability and the Environment
Ionic liquids properties and applications
Physical Sciences →  Chemical Engineering →  Catalysis
Advanced Thermoelectric Materials and Devices
Physical Sciences →  Materials Science →  Materials Chemistry

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DISSERTATION

Single Atom Catalysts for Efficient Electroreduction of Carbon Dioxide and Carbon Monoxide

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University:   UNSWorks (University of New South Wales, Sydney, Australia) Year: 2023
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