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Lennard-Jones Parameter Fitting for Gold/Water Interaction Based on Structural Analysis: A QM, MM, and QM/MM Study.
Pere Bancells I Blazquez1,2, Federico Nicolás Pedron1, Anthoni Alcaraz Torres1
1Catalan Institute of Nanoscience and Nanotechnology-ICN2 (CSIC and BIST), 08193 Bellaterra, Barcelona, Spain.
This study introduces a new method for fitting Lennard-Jones parameters for metal/water interactions using structural analysis. This approach improves classical molecular dynamics simulations of water structuring on metal surfaces.
Area of Science:
- Computational chemistry
- Materials science
- Physical chemistry
Background:
- Accurate modeling of metal/water interfaces is essential across various scientific fields.
- Classical molecular dynamics (MD) often uses Lennard-Jones (LJ) potentials to describe these interactions.
- Existing LJ parameters may not precisely capture ab initio (DFT) metal/water interactions, necessitating improved parameterization.
Purpose of the Study:
- To develop improved Lennard-Jones (LJ) parameters for metal/water interactions.
- To enhance the description of water structuring on metal surfaces in classical MD simulations.
- To validate a novel parameter fitting approach based on structural analysis.
Main Methods:
- Classical MD simulations of gold/water interfaces with varied LJ parameters (sigma/epsilon).
- Comparison of simulated water structuring against density functional theory (DFT) results.
- Testing of developed LJ parameters in quantum mechanics/molecular mechanics (QM/MM) MD simulations.
Main Results:
- The proposed structural analysis approach yields improved LJ parameters compared to existing literature values.
- Simulations using the new parameters better reproduce DFT-observed water structuring on gold.
- Hybrid QM/MM calculations with the new parameters closely match QM-level water density profiles at reduced computational cost.
Conclusions:
- A novel, structure-based method effectively refines LJ parameters for metal/water interactions.
- The improved parameters enhance the accuracy of classical MD for modeling water on metallic surfaces.
- This approach offers a computationally efficient way to study complex metal/water systems.
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