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Linearized pair-density functional theory (L-PDFT) accurately predicts molecular dipole moments, even for complex systems with strong electron correlation. This method shows promise for various computational chemistry applications.

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Area of Science:

  • Computational chemistry
  • Quantum chemistry
  • Theoretical chemistry

Background:

  • Accurate molecular dipole moment prediction relies on high-quality wave functions or electron densities.
  • Multireference methods are essential for systems with strong electron correlation.

Purpose of the Study:

  • Derive and implement analytic expressions for permanent dipole moments using linearized pair-density functional theory (L-PDFT).
  • Evaluate L-PDFT performance for ground and excited states, particularly in challenging electronic environments.

Main Methods:

  • Utilized state-averaged complete active space wave functions as reference.
  • Employed response theory, calculating the first derivative of L-PDFT energy with respect to an external electric field.

Main Results:

  • Assessed L-PDFT on diverse molecules including acetylene, phenol, and aromatic systems.
  • Demonstrated consistent and accurate dipole moment predictions near conical intersections and strong nuclear-electronic coupling.

Conclusions:

  • L-PDFT provides smooth and accurate dipole surfaces for various molecular systems.
  • L-PDFT is a promising method for force field development, spectroscopic analysis, and machine-learning potential generation.