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Three-Body Dispersion Corrections to the Spherical Atom Model: The PFD-3B Density Functional.

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|November 24, 2020
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Summary

The new PFD-3B density functional significantly improves accuracy in predicting molecular energies by incorporating three-body dispersion interactions. This advancement offers superior performance for computational chemistry tasks like geometry optimization.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Accurate prediction of molecular energies is crucial for understanding chemical reactions and properties.
  • Existing isotropic spherical atom models have limitations in capturing complex interactions.
  • Three-body dispersion interactions play a significant role in molecular systems.

Purpose of the Study:

  • To develop and evaluate a new density functional, PFD-3B, that enhances accuracy in energy calculations.
  • To assess the performance of PFD-3B against benchmark datasets and existing methods.
  • To investigate the functional's suitability for geometry optimization and vibrational frequency calculations.

Main Methods:

  • Combining isotropic spherical atom models with anisotropic three-body dispersion interactions.
  • Developing the PFD-3B density functional.
  • Testing the functional against the S22 and S22 × 5 benchmark datasets.
  • Comparing PFD-3B results with coupled cluster with single, double, and perturbative triple excitations (CCSD(T))/complete basis set (CBS) benchmark energies.

Main Results:

  • PFD-3B reduces the mean absolute deviation (MAD) from 0.78 to 0.19 kcal/mol for the S22 test set.
  • High accuracy is maintained across a wide range of molecular geometries.
  • PFD-3B outperforms previously applied functionals on the S22 × 5 dataset.
  • Excellent agreement with benchmark values for bond lengths (Re), dissociation energies (De), and vibrational frequencies (ωe) was achieved for both small and larger molecules.

Conclusions:

  • The PFD-3B density functional represents a significant advancement in computational chemistry accuracy.
  • Its ability to accurately model dispersion interactions makes it highly suitable for predicting molecular properties.
  • PFD-3B is a promising tool for geometry optimization and zero-point energy calculations due to its high accuracy and efficiency.