Unlocking high alcohol product selectivity in methane-to-ethanol conversion at practically relevant current density <i>via</i> dual-site-driven cascade electrocatalysis

A machine-learning-guided Mo–Cu dual-site cascade enables efficient electrochemical CH 4 -to-EtOH conversion via a three-electron *O 2 − -mediated pathway, achieving near-100% liquid selectivity.

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Publication Details

Journal
Energy & Environmental Science
Published
2025-11-28
DOI
https://doi.org/10.1039/d5ee05379j
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
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article

Unlocking high alcohol product selectivity in methane-to-ethanol conversion at practically relevant current density via dual-site-driven cascade electrocatalysis

Energy & Environmental Science
CO2 Reduction Techniques and Catalysts
article

Unlocking high alcohol product selectivity in methane-to-ethanol conversion at practically relevant current density via dual-site-driven cascade electrocatalysis

article en

Abstract

A machine-learning-guided Mo–Cu dual-site cascade enables efficient electrochemical CH 4 -to-EtOH conversion via a three-electron *O 2 − -mediated pathway, achieving near-100% liquid selectivity.

Energy & Environmental ScienceVol. 19(1)
Centre National de la Recherche Scientifique (FR), Ningbo University of Technology (CN), Institut de Science et d'Ingénierie Supramoléculaires (FR), Zhejiang Energy Research Institute (CN), Quzhou University (CN), Zhejiang University (CN)
Openalex Percentile: Top 61%
CO2 Reduction Techniques and Catalysts
DOISourceOpenAlex
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