Graphene-Supported Cu (n = 5, 6) Clusters for CO₂ Reduction Catalysis.

Area of Science:

• Physical Chemistry
• Nanotechnology
• Catalytic Science

Background:

• Advancements in nanotechnology and catalysis drive the search for efficient chemical reaction catalysts.
• Two-dimensional nanocatalysts, specifically copper clusters on defective graphene (Cu@GR), show promise for CO2RR.

Purpose of the Study:

• Investigate the catalytic properties of Cu@GR for electrochemical CO2 reduction.
• Determine the factors influencing product selectivity (CH4, CH3OH).
• Evaluate the potential of Cu@GR as a highly efficient and selective catalyst.

Main Methods:

• Density Functional Theory (DFT) calculations to model Cu@GR systems.
• Free energy calculations to quantitatively analyze product selectivity.
• Analysis of overpotentials for CO2 reduction and hydrogen evolution reactions (HER).

Main Results:

• Tailoring Cu@GR configuration enables selective production of CH4 and CH3OH.
• Cu5@GR demonstrates exceptional activity for CO2 to CH4 conversion with a low overpotential of -0.31 eV.
• The overpotential for HER is higher than for CH4 production, minimizing interference.

Conclusions:

• Cu5@GR is a highly efficient nanocatalyst for selective CO2 electroreduction to CH4.
• The catalyst design offers a low overpotential and high selectivity, crucial for practical applications.
• This study provides a theoretical basis for developing advanced composite nanocatalysts.