Atomistic force field for pyridinium-based ionic liquids: reliable transport properties
Iuliia V Voroshylova1, Vitaly V Chaban
1CIQ/REQUIMTE - Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto , Rua do Campo Alegre 687, 4169-007, Porto, Portugal.
This study refines force field (FF) parameters for pyridinium ionic liquids (ILs), improving predictions of their physical and chemical properties. The new models accurately reproduce experimental transport properties and enhance computational investigations of ILs.
Area of Science:
- Computational Chemistry
- Materials Science
- Physical Chemistry
Background:
- Accurate force fields (FFs) are crucial for predicting physical chemical properties of ionic liquids (ILs) using computer simulations.
- Existing FF models may not fully capture specific cation-anion interactions in the liquid phase, limiting predictive accuracy.
Purpose of the Study:
- To develop refined FF parameters for six common pyridinium-based ILs.
- To establish a systematic procedure for accounting for cation-anion interactions in IL simulations.
- To validate the predictive capability of the refined FFs for various IL properties.
Main Methods:
- Systematic refinement of FF parameters, focusing on atom diameter, potential well depth, and electrostatic charge for each interaction site.
- Development of atomistic models based on the Canongia Lopes-Pádua (CL&P) FF framework.
- Validation against experimentally determined thermodynamics, structure, and transport properties of ILs.
Main Results:
- Refined FF parameters were developed for six pyridinium ILs, including butylpyridinium tetrafluoroborate, bis(trifluoromethanesulfonyl)imide, dicyanamide, hexafluorophosphate, triflate, and chloride.
- The refined models accurately reproduce experimentally determined transport properties (diffusion, viscosity, conductivity).
- The three-parameter approach per site sufficiently predicts thermodynamics (heat of vaporization, density) and structure (radial distributions).
Conclusions:
- The developed FF parameters provide a systematic refinement over existing models like CL&P.
- Accurate description of cation-anion interactions is key to predicting IL properties.
- These enhanced models facilitate more reliable computational investigations of ionic liquids.
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