Machine Learning Exploration of Experimental Conditions for Optimized Electrochemical CO2 Reduction
Abstract Electrochemical CO2 reduction has attracted significant attention as a potential method to close the carbon cycle. In this study, we investigated the impact of the electrode fabrication and electrolysis conditions on the product selectivity of Ag electrocatalysts using a machine learning (M...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2024-12-01
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| Series: | ChemElectroChem |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/celc.202400518 |
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