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Linear-response time-dependent density-functional theory with pairing fields.

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New density-functional theory methods enhance calculations of ground state correlation energies and N ± 2 excitation energies using particle-particle random phase approximation (pp-RPA). This work establishes foundations for improved theoretical descriptions in quantum chemistry and physics.

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Area of Science:

  • Quantum Chemistry
  • Theoretical Physics
  • Computational Chemistry

Background:

  • Recent advancements in particle-particle random phase approximation (pp-RPA) have expanded its application to ground state correlation energies and N ± 2 excitation energies.
  • Current pp-RPA calculations primarily use Hartree-Fock or approximated density-functional orbitals.

Purpose of the Study:

  • To explore pairing matrix dependent functionals by developing linear-response time-dependent density-functional theory with pairing fields.
  • To apply this theory to normal, non-superconducting systems for calculating correlation energies and excitation energies.

Main Methods:

  • Developed linear-response time-dependent density-functional theory incorporating adiabatic and frequency-dependent pairing field kernels.
  • Established the theory based on the representability assumption of the pairing matrix due to the absence of a proven one-to-one mapping for time-dependent systems.
  • Utilized approximated density-functionals within the linear-response framework.

Main Results:

  • The developed linear-response theory justifies the use of approximated density-functionals in pp-RPA calculations.
  • This theoretical framework is applicable to normal, non-superconducting systems, extending the reach of pp-RPA.
  • The study lays the groundwork for future density-functional developments.

Conclusions:

  • The presented theory provides a robust foundation for enhancing the description of ground state correlation energies and N ± 2 excitation energies.
  • It validates the use of approximated density-functionals in pp-RPA, simplifying calculations.
  • This research opens new avenues for developing more accurate functionals in quantum mechanical modeling.