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A System-Dependent Density-Based Dispersion Correction.

Stephan N Steinmann1, Clemence Corminboeuf1

  • 1Laboratory for Computational Molecular Design, Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.

Journal of Chemical Theory and Computation
|December 1, 2015
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Summary
This summary is machine-generated.

A new density-dependent dispersion correction (dDXDM) significantly improves density functional approximations for weak molecular interactions. This correction enhances accuracy for both inter- and intramolecular interactions across various chemical systems.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Materials Science

Background:

  • Density functional approximations (DFAs) often fail to accurately describe weak molecular interactions due to small electron density overlaps.
  • Accurate modeling of these interactions is crucial for understanding chemical bonding, reaction mechanisms, and material properties.

Purpose of the Study:

  • To introduce a novel density-dependent dispersion correction (dDXDM) to enhance the accuracy of DFAs for weak molecular interactions.
  • To evaluate the performance of the dDXDM correction when combined with popular density functional methods.

Main Methods:

  • The dDXDM correction is an a posteriori energy term added to existing DFAs, applicable to all elements.
  • Dispersion coefficients are calculated using the exchange-hole dipole moment (XDM) formalism, incorporating density and oxidation state.
  • Long-range potentials are supplemented with higher-order terms and a damping factor dependent on Hirshfeld populations and ionization energies.

Main Results:

  • The dDXDM correction significantly reduces errors in popular density functionals for both inter- and intramolecular interactions.
  • Tested on 145 systems, functionals like PBE-dDXDM, PBE0-dDXDM, and B3LYP-dDXDM achieved mean absolute deviations (MADs) of 0.74-0.84 kcal mol(-1).
  • These dDXDM-corrected functionals outperform computationally intensive methods like M06-2X and B2PLYP-D.

Conclusions:

  • The dDXDM correction offers a computationally efficient and broadly applicable method to improve the description of weak interactions in DFAs.
  • This approach leads to superior accuracy compared to existing dispersion-corrected functionals and some advanced methods.