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Oxygen-induced changes to selectivity-determining steps in electrocatalytic CO2 reduction.

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Density functional theory investigated copper surfaces for CO2 reduction. Oxygen binding strength on these surfaces predicts selectivity for methane or methanol, aiding electrocatalyst design.

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Area of Science:

  • Surface science
  • Computational chemistry
  • Electrocatalysis

Background:

  • Electrocatalytic CO2 reduction is crucial for sustainable energy.
  • Copper (Cu) electrocatalysts show promise but selectivity challenges persist.
  • Understanding surface states is key to improving Cu electrocatalyst performance.

Purpose of the Study:

  • Investigate the impact of surface oxidation states and spectator species on Cu electrocatalysts.
  • Determine how surface properties influence CO2 reduction selectivity towards methane (CH4) and methanol (CH3OH).
  • Identify a descriptor for designing improved electrocatalytic materials for CO2 reduction.

Main Methods:

  • Density functional theory (DFT) calculations were employed.
  • Simulated various Cu surface states, including Cu2O and Cu(110)-(2 × 1)O.
  • Analyzed the binding strength of oxygen-based species and hydroxyl (OH) spectators.

Main Results:

  • Relative oxygen binding strengths varied across different Cu surface states.
  • Oxygen binding strength correlates with experimentally observed selectivity changes between CH4 and CH3OH.
  • The methoxy (CH3O) intermediate's formation is influenced by oxygen binding.

Conclusions:

  • The local surface environment significantly impacts electrocatalytic selectivity.
  • Oxygen binding strength serves as a key descriptor for predicting CO2 reduction product selectivity.
  • This finding can guide the rational design of advanced Cu electrocatalysts.