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Published on: June 9, 2023
Redox Potentials from Ab Initio Molecular Dynamics and Explicit Entropy Calculations: Application to Transition
Miguel A Caro1,2, Olga Lopez-Acevedo2,3, Tomi Laurila1
1Department of Electrical Engineering and Automation, Aalto University , 02150 Espoo, Finland.
We developed a first-principles method to calculate redox potentials without experimental data. This approach uses molecular dynamics and thermodynamic models, achieving excellent agreement with experimental values for various redox couples.
Area of Science:
- Computational Chemistry
- Electrochemistry
- Quantum Mechanics
Background:
- Accurate prediction of redox potentials is crucial for understanding and designing electrochemical systems.
- Existing methods often rely on experimental data or approximations, limiting their predictive power.
Purpose of the Study:
- To present a robust, first-principles methodology for calculating redox potentials.
- To validate the approach across a diverse set of redox couples in different solvents.
- To establish a computationally efficient and statistically stable method for free energy calculations.
Main Methods:
- Ab initio molecular dynamics (MD) simulations with all-atom explicit solvation.
- Application of the two-phase thermodynamic (2PT) model.
- Utilization of electrostatic potentials for referencing the absolute electrochemical scale.
Main Results:
- Accurate computation of reduction potentials for Cr, V, Ru, Sn, Cu, Fe, and ferrocene derivatives in aqueous solution and acetonitrile.
- Demonstrated the necessity of quantum-mechanical simulations for capturing solvent dynamics.
- Achieved excellent agreement with experimental data, with root-mean-square deviations as low as 0.457 V.
Conclusions:
- The proposed methodology provides a reliable, experiment-free route to redox potential estimation.
- Computational efficiency and statistical stability are key advantages.
- The accuracy is primarily limited by the chosen exchange-correlation functional's ability to describe specific molecular complexes.
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