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Capturing Many-Body Interactions with Classical Dipole Induction Models.

Chengwen Liu1, Rui Qi1, Qiantao Wang2

  • 1Department of Biomedical Engineering, The University of Texas at Austin , Austin, Texas 78712, United States.

Journal of Chemical Theory and Computation
|May 10, 2017
PubMed
Summary
This summary is machine-generated.

Classical atomic dipole models accurately capture many-body interactions in organic molecules. Modified Thole models further improve agreement with Møller-Plesset perturbation theory (MP2) calculations, enhancing predictions for condensed phase systems.

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Area of Science:

  • Computational Chemistry
  • Molecular Modeling
  • Physical Chemistry

Background:

  • Nonadditive many-body interactions are crucial for condensed phase system properties.
  • Accurate modeling of these interactions is essential for molecular simulations.

Purpose of the Study:

  • To evaluate Thole-based dipole induction models for capturing many-body interaction energy.
  • To assess the performance of modified models against Møller-Plesset perturbation theory (MP2) data.
  • To investigate model transferability to systems with metal/halogen ions.

Main Methods:

  • Calculated many-body interaction energies for organic/biochemical molecular clusters using MP2 theory.
  • Compared three Thole-based dipole induction models: original AMOEBA, reoptimized damping parameters, and modified damping function.
  • Tested models on systems including metal/halogen ions.

Main Results:

  • Simple classical atomic dipole models effectively capture 3- and 4-body interaction energies for diverse organic molecules.
  • Modified Thole models demonstrate improved agreement with MP2 results.
  • The damping function form significantly impacts polarization energy at short distances.

Conclusions:

  • Classical atomic dipole models provide a reliable approach for modeling many-body interactions in organic systems.
  • Thole-based models, particularly with modifications, can accurately represent polarization effects.
  • Model performance and transferability are influenced by damping function choices, especially for electrostatic fields.