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Published on: June 30, 2019
Marcus-Hush-Chidsey kinetics at electrode-electrolyte interfaces
Rachel Kurchin1, Venkatasubramanian Viswanathan1
1Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
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.
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.
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