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Exploring the Influence of Applied Potential and Catalyst Morphology on the Selectivities of Copper Toward Carbon Dioxide Electroreduction Using Machine Learning
Electrochemical CO2 reduction (CO2RR) presents a sustainable approach to converting greenhouse gases into valuable chemicals. However, achieving precise product selectivity remains challenging. This study investigates the influence of applied potential and catalyst morphology on CO2RR selectivity us...
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| Main Authors: | , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2025-11-01
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| Serier: | Advanced Intelligent Systems |
| Fag: | |
| Online adgang: | https://doi.org/10.1002/aisy.202500311 |
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