C₂₊ Selectivity for CO₂ Electroreduction on Oxidized Cu-Based Catalysts

Area of Science:

• Electrochemistry
• Materials Science
• Computational Chemistry

Background:

• Designing selective catalysts for carbon dioxide (CO2) electroreduction to multicarbon (C2+) fuels is a significant challenge.
• Current understanding of C2+ selectivity mechanisms in copper-based catalysts is limited.

Purpose of the Study:

• To develop a predictive model for C2+ product selectivity based on the composition of oxidized copper catalysts.
• To elucidate the role of catalyst composition and oxidation state in facilitating C-C coupling for C2+ formation.

Main Methods:

• Utilized a combination of quantum chemical computations, artificial intelligence (AI) clustering, and experimental validation.
• Employed ab initio thermodynamics to determine critical potential conditions for oxidized copper states.
• Applied multidimensional scaling (MDS) to analyze relationships between catalyst properties and selectivity.

Main Results:

• Oxidized copper surfaces were found to significantly enhance C-C coupling, a key step in C2+ formation.
• An inverted-volcano relationship was established between experimental Faradaic efficiency and critical potential.
• A co-doping strategy with early and late transition metals was demonstrated to design effective electrocatalysts for selective C2+ production.

Conclusions:

• The integration of theoretical computation, AI clustering, and experimental data provides a practical framework for establishing structure-selectivity relationships in complex catalytic reactions.
• This approach can guide the rational design of advanced electrocatalysts for efficient CO2 electroreduction to valuable C2+ products.