Reparameterization of Polarizable Force Fields for Studying Ion Transfer across Liquid-Liquid Interfaces
Chung Chi Chio1, Ying-Lung Steve Tse1
1Department of Chemistry, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong, China.
We developed a new method to create accurate classical polarizable force fields for liquid-liquid interfaces using ab initio molecular dynamics (AIMD) data. This approach enables efficient simulations of complex systems, like ion transfer catalysis.
Area of Science:
- Computational Chemistry
- Physical Chemistry
- Materials Science
Background:
- Accurate simulation of liquid-liquid interfaces is crucial for understanding chemical processes.
- Ab initio molecular dynamics (AIMD) provides high accuracy but is computationally expensive.
- Classical polarizable force fields offer a computationally efficient alternative but require accurate parameterization.
Purpose of the Study:
- To develop a general scheme for refining classical polarizable molecular dynamics (MD) force fields for liquid-liquid interfaces.
- To enable accurate and efficient simulations of molecular interactions at interfaces.
- To investigate the mechanism of ion transfer across liquid-liquid interfaces.
Main Methods:
- Parameterization of classical polarizable force fields using AIMD reference data.
- Minimization of relative entropy and root mean squared deviation in atomic forces.
- Application of multiscale models to study chloride ion transfer across water-dichloromethane (DCM) interface.
Main Results:
- Developed accurate classical polarizable force fields for liquid-liquid interfaces.
- Calculated free-energy barrier for ion transfer across water-DCM interface, consistent with existing results.
- Demonstrated that electronic polarizability is key for phase-transfer catalysts to lower ion transfer barriers.
Conclusions:
- The developed parameterization scheme is a general route for modeling various liquid-liquid interface systems.
- Accurate force fields are essential for understanding interfacial phenomena and designing new catalysts.
- This method allows for efficient simulations of complex interfacial systems where AIMD is infeasible.
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