Force-Based Method to Determine the Potential Dependence in Electrochemical Barriers.

Area of Science:

• Computational chemistry
• Electrocatalysis
• Physical chemistry

Background:

• Accurate simulation of electrochemical reaction mechanisms requires understanding potential-dependent energetics.
• Current kinetic simulation methods face challenges like lack of potential control and high computational cost.

Purpose of the Study:

• To develop a computationally efficient model for calculating electrochemical activation energies.
• To enable accurate prediction of reaction kinetics under varying electrochemical potentials.

Main Methods:

• Utilized density functional theory (DFT) calculations on a homogeneous grid with varying field strengths.
• Developed a model that uses atom-centered forces from DFT as input.
• Computed potential-dependent activation energies.

Main Results:

• The model successfully computes electrochemical activation energies from a limited number of DFT calculations.
• Results showed consistency across different supercell sizes and proton concentrations.
• Demonstrated applicability to a range of electrochemical reactions.

Conclusions:

• The developed model provides a robust and efficient approach for studying electrochemical kinetics.
• This method overcomes key limitations of existing simulation techniques.
• Offers a pathway for more accurate ab initio investigations of electrochemical reaction mechanisms.