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A Method for the Numerical Evaluation of the Second Virial Coefficient for Polyatomic Molecules.
P M Holland1, J F Ely2, H J M Hanley3
1Department of Chemistry, University of Colorado, Boulder, Colorado 80302.
A new numerical method accurately calculates the second virial coefficient for polyatomic molecules, including quadrupolar and dipolar types. This approach offers high precision for intermolecular potential calculations, outperforming existing methods like the Pople expansion.
Area of Science:
- Physical Chemistry
- Computational Chemistry
- Thermodynamics
Background:
- The second virial coefficient is crucial for understanding gas behavior and intermolecular forces.
- Accurate calculation of the second virial coefficient for polyatomic molecules is complex due to anisotropic interactions.
Purpose of the Study:
- To develop a numerical integration procedure for calculating the second virial coefficient of simple polyatomic molecules.
- To assess the accuracy of the proposed method for quadrupolar and dipolar molecules.
Main Methods:
- The intermolecular pair potential is modeled as a sum of spherically symmetric and angular-dependent terms.
- The method involves evaluating different numerical values for the angular-dependent contribution.
- Numerical integration is applied to compute the second virial coefficient.
Main Results:
- The proposed method provides accurate second virial coefficients for quadrupolar molecules (within 1 part in 2500) and polar molecules (within 1 part in 300).
- Comparison with the Pople expansion shows the proposed method's reliability.
- The study highlights the need for careful application of the Pople expansion to ensure convergence.
Conclusions:
- The developed numerical integration procedure is a reliable and accurate tool for calculating the second virial coefficient of simple polyatomic molecules.
- The method offers a valuable alternative to existing techniques, particularly when dealing with anisotropic intermolecular potentials.
- Ensuring convergence in related computational methods like the Pople expansion is critical for accurate results.
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