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A self-consistent coulomb bath model using density fitting.

Xin Chen1,2, Zexing Qu1, Bingbing Suo3

  • 1Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, Jilin University, Changchun, China.

Journal of Computational Chemistry
|May 6, 2020
PubMed
Summary
This summary is machine-generated.

A novel Coulomb bath model accurately calculates interfragment electrostatic and polarization interactions in condensed-phase systems. This efficient method uses density fitting and a double self-consistent field (DSCF) procedure for accurate many-body polarization effects.

Keywords:
coulomb bath modedensity fittingfragment-based method

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Materials Science

Background:

  • Accurate calculation of interfragment interactions is crucial for understanding condensed-phase systems.
  • Existing methods may struggle with efficiency and accuracy for many-body polarization effects.

Purpose of the Study:

  • To present a self-consistent Coulomb bath model for accurate and efficient calculation of interfragment electrostatic and polarization interactions.
  • To incorporate many-body polarization effects into computational models.

Main Methods:

  • Partitioning condensed-phase systems into molecular fragment blocks.
  • Representing the Coulomb bath using a density fitting method with Gaussian-type auxiliary basis sets.
  • Iterative double self-consistent field (DSCF) procedure to optimize electron density and realize mutual many-body polarization.

Main Results:

  • Demonstrated good agreement between Coulomb bath calculations and exact results from energy decomposition analysis.
  • Visualized many-body polarization effects using electron density difference plots.
  • Achieved fast and robust convergence with near-linear scaling performance.

Conclusions:

  • The self-consistent Coulomb bath model provides an accurate and efficient approach for calculating interfragment interactions.
  • The DSCF procedure effectively captures mutual many-body polarization effects.
  • The method shows promise for large-scale computational chemistry applications.