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We optimized the Edmiston-Ruedenberg orbital localization function for occupied and virtual orbitals. This method, while effective for occupied orbitals, is computationally expensive for virtual orbitals, suggesting alternative methods for specific applications.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Orbital localization is crucial for simplifying electronic structure calculations.
  • The Edmiston-Ruedenberg method maximizes orbital self-repulsion energy for localization.
  • Previous methods primarily focused on occupied orbitals.

Purpose of the Study:

  • To implement and evaluate a trust-region optimization for the Edmiston-Ruedenberg orbital localization function.
  • To demonstrate the general localization of virtual orbitals using this method.
  • To compare the computational cost and efficiency with existing methods.

Main Methods:

  • Trust-region optimization algorithm applied to the Edmiston-Ruedenberg function.
  • Cholesky decomposition to reduce the cost of electron repulsion integrals.
  • Optimization performed in the molecular orbital basis.

Main Results:

  • Successful localization of both occupied and virtual orbitals.
  • Occupied orbital localization shows linear scaling and is often cheaper than SCF optimization.
  • Virtual orbital localization is computationally more expensive than SCF optimization.
  • Resulting virtual Edmiston-Ruedenberg orbitals have larger spreads compared to other methods.

Conclusions:

  • The Edmiston-Ruedenberg method is demonstrated for virtual orbital localization.
  • Linear scaling achieved for occupied orbital localization offers computational advantages.
  • Higher computational cost for virtual orbital localization suggests alternative methods are preferable for certain applications like local post-Hartree-Fock calculations.