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Updated: Sep 8, 2025

Spatial Separation of Molecular Conformers and Clusters
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Split electrons in partition density functional theory.

Kui Zhang1, Adam Wasserman1

  • 1Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA.

The Journal of Chemical Physics
|June 15, 2022
PubMed
Summary
This summary is machine-generated.

Partition density functional theory methods, ensemble (ENS) and fractional orbital occupation (FOO), were compared. ENS fragment densities are less distorted and retain integer electrons better than FOO.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Density Functional Theory

Background:

  • Partition density functional theory (PDFT) is a computational method for fragmenting molecules.
  • Minimizing fragment energies under density and electron constraints is key to PDFT.
  • Handling non-integer electron populations in fragments is a challenge.

Purpose of the Study:

  • To compare two methods for handling non-integer fragment electron populations in PDFT: ensemble (ENS) and fractional orbital occupation (FOO).
  • To evaluate the performance of ENS and FOO on simple molecular systems.

Main Methods:

  • Investigated a two-stage minimization procedure for PDFT.
  • Implemented and compared the ensemble (ENS) approach and the fractional orbital occupation (FOO) approach.
  • Applied both methods to models of heteronuclear diatomic molecules and actual diatomic molecules with two and four electrons.

Main Results:

  • Both ENS and FOO yield identical total energies and electron densities.
  • ENS fragment densities show less distortion compared to isolated fragments than FOO.
  • ENS methods tend to preserve integer electron counts in fragments more effectively than FOO.
  • FOO fragment dipoles provide an upper bound to ENS dipoles.

Conclusions:

  • ENS is a more accurate representation of fragment electron distribution in PDFT compared to FOO.
  • The choice of method impacts fragment density distortion and electron population representation.
  • Understanding these differences is crucial for accurate molecular fragmentation studies.