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Marcus-Hush-Chidsey kinetics at electrode-electrolyte interfaces.

Rachel Kurchin1, Venkatasubramanian Viswanathan1

  • 1Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.

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This study integrates electrode electronic density of states into electrochemical kinetics models, improving predictions for batteries and fuel cells. The new framework accurately models Li metal deposition and solid-electrolyte interphases.

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Area of Science:

  • Electrochemistry
  • Materials Science
  • Computational Chemistry

Background:

  • Electrochemical kinetics at electrode-electrolyte interfaces are crucial for energy devices like fuel cells and batteries.
  • Current models often do not fully incorporate electrode electronic structure, limiting predictive accuracy.

Purpose of the Study:

  • To develop and apply a unified computational framework for electrochemical kinetics that explicitly includes the electrode's electronic density of states.
  • To investigate the impact of electronic structure on reaction rates at various electrode-electrolyte interfaces.

Main Methods:

  • Utilized density functional theory (DFT) to calculate the electronic density of states for different electrode materials.
  • Integrated DFT-derived electronic density of states into numerical calculations of electrochemical reaction rates.
  • Applied the framework to model Li metal electrodeposition/stripping on Li and Cu surfaces, and interfaces involving LiF and Li2CO3.

Main Results:

  • Demonstrated significant variations in electrochemical reaction rates based on the electrode's electronic density of states, particularly for Cu with its d-bands.
  • Observed minor deviations for Li surfaces with flat densities of states.
  • Highlighted the role of the Fermi level in semiconducting interphases (LiF/Li2CO3) and captured discharge/charge asymmetry in reaction rates.

Conclusions:

  • The proposed framework provides a more accurate approach to modeling electrochemical kinetics by incorporating electronic structure.
  • This method is essential for understanding and optimizing electrode-electrolyte interfaces in energy storage and conversion devices.
  • The findings offer insights into material selection and interface design for improved device performance.