Ion Distribution and Cation Exchange at Mica-Electrolyte Interfaces Probed with Deep Potential Molecular Dynamics
Sanghyun J Park1, Abhinav S Raman2, Annabella Selloni1
1Department of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.
Deep neural network simulations reveal how ions interact at mineral surfaces. Cation coadsorption at the muscovite mica-electrolyte interface alters ion distribution and exchange kinetics.
Area of Science:
- Geochemistry
- Computational Chemistry
- Materials Science
Background:
- Understanding ion behavior at mineral-aqueous interfaces is key for environmental and technological applications.
- Classical molecular dynamics (MD) simulations are limited by empirical force fields, necessitating advanced methods.
Purpose of the Study:
- To investigate the Stern layer structure and cation exchange mechanism at muscovite mica-electrolyte interfaces.
- To explore ion distribution and dynamics using advanced simulation techniques.
Main Methods:
- Nanosecond time scale MD simulations utilizing deep neural network interatomic potentials.
- Potentials were trained on density functional theory (DFT) data for accuracy.
- Simulations focused on K+ and Na+ at mica-electrolyte interfaces with varying salt solutions (NaCl, KCl).
Main Results:
- Potassium ions (K+) predominantly adopt inner-sphere configurations, while sodium ions (Na+) show significant outer-sphere populations.
- Coadsorption of multiple cation species leads to local surface overcharging.
- This overcharging reshapes cation speciation, promoting the desorption of neighboring surface cations.
Conclusions:
- The study provides a detailed molecular-level understanding of cation exchange at the muscovite-water interface.
- Findings align with experimental observations of altered cation speciation and slow kinetics due to coadsorption.
- This work offers a foundation for interpreting experimental data and predicting interfacial behavior.
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