Improved GAFF2 parameters for fluorinated alkanes and mixed hydro- and fluorocarbons
1Lehrstuhl für Theoretische Chemie / Computer Chemie Centrum, Friedrich-Alexander Universität Erlangen-Nürnberg, Nägelsbachstraße 25, 91052, Erlangen, Germany.
Journal of Molecular Modeling
|January 20, 2019
Summary
Improved molecular mechanics models enhance predictions for perfluorocarbons and fluorinated compounds. New GAFF2 force field models show better accuracy for molecular structures and mechanical properties.
Area of Science:
- Computational chemistry
- Materials science
- Molecular modeling
Background:
- Accurate molecular mechanics models are crucial for simulating chemical and physical properties.
- Existing force fields may not precisely capture the behavior of perfluorocarbons and mixed hydro- and fluorocarbons.
- Self-assembled monolayers (SAMs) are important for surface science and nanotechnology.
Purpose of the Study:
- To develop and validate improved molecular mechanics models for perfluorocarbons and mixed hydro- and fluorocarbons.
- To enhance the accuracy of the GAFF2 force field for these specific chemical classes.
- To assess the impact of these improved models on predicting structural and mechanical properties.
Main Methods:
- Development of new GAFF2-based force field parameters.
- Benchmarking against single molecule geometries.
- Simulation of condensed phases, specifically perfluoro-octadecane phosphonic acid self-assembled monolayers.
- Analysis of torsion angles and mechanical properties via simulated indentation.
Main Results:
- Demonstrated considerable improvement in the accuracy of torsion angles for perfluorocarbons and mixed hydro- and fluorocarbons.
- Validated the enhanced models through benchmarking in both gas and condensed phases.
- Illustrated the impact of the improved models on the mechanical properties of self-assembled monolayers.
Conclusions:
- The refined GAFF2-type molecular mechanics models offer superior accuracy for perfluorocarbons and related compounds.
- These improved models are essential for reliable simulations of structural and mechanical behaviors.
- The study provides a valuable tool for computational studies in materials science and chemistry.
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