Gaussian charge polarizable interaction potential for carbon dioxide
1Department of Chemistry, University of Gothenburg, Gothenburg 41296, Sweden. rasmus.persson@chem.gu.se
Simple carbon dioxide potentials inaccurately predict virial coefficients. A new polarizable three-site model accurately reproduces experimental data for carbon dioxide (CO2) fluid properties.
Area of Science:
- Physical Chemistry
- Computational Chemistry
- Thermodynamics
Background:
- Accurate molecular interaction potentials are crucial for predicting thermophysical properties of fluids like carbon dioxide (CO2).
- Existing simple pair potentials often fail to adequately describe the behavior of CO2, particularly its virial coefficients.
Purpose of the Study:
- To investigate the performance of various simple pair interaction potentials for carbon dioxide.
- To develop and validate a more accurate molecular model for carbon dioxide, capable of reproducing experimental thermodynamic data.
Main Methods:
- Evaluation of several simple pair interaction potentials for their ability to predict second and third virial coefficients of CO2.
- Development of a rigid, polarizable, three-site interaction potential incorporating modified Buckingham exp-6, anisotropic Axilrod-Teller correction, and Gaussian charge densities.
- Validation of the developed potential against experimental data for CO2 density and comparison with quantum-mechanical calculations for dimer and hydrated complexes.
Main Results:
- Simple pair potentials were found to underestimate the second virial coefficient by up to 20% and the third virial coefficient.
- The developed three-site polarizable potential accurately reproduces experimental second and third virial coefficients within a few percent.
- The model also shows good agreement with experimental CO2 fluid densities and qualitative agreement with trimer stability when quantum corrections are included.
Conclusions:
- A rigid, polarizable, three-site interaction potential offers a significant improvement over simple pair potentials for modeling carbon dioxide.
- This advanced model accurately predicts key thermodynamic properties and provides better structural insights into CO2 interactions, including hydrated complexes.
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