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Multicomponent density functional theory embedding formulation.

Tanner Culpitt1, Kurt R Brorsen1, Michael V Pak1

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A new multicomponent embedded density functional theory (DFT) method accurately treats larger systems by separating electron and proton densities. This approach provides computationally tractable and qualitatively accurate nuclear densities for complex molecular systems.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Density Functional Theory

Background:

  • Multicomponent density functional theory (DFT) methods treat multiple particle types quantum mechanically.
  • The nuclear-electronic orbital (NEO) approach handles electrons and select nuclei (protons) quantum mechanically.
  • Existing NEO methods use electron-proton correlation functionals with standard electronic functionals.

Purpose of the Study:

  • Develop a general theory for multicomponent embedded DFT for larger systems.
  • Enable accurate treatment of electron-proton correlation in complex molecules.
  • Introduce a novel DFT-in-DFT embedding scheme.

Main Methods:

  • Separated total electronic density into regular and special subsystems.
  • Applied different electron-proton correlation functionals to these subsystems.
  • Defined special electron density using localized Kohn-Sham orbitals for localized correlation treatment.

Main Results:

  • The proposed scheme accurately captures essential local electron-proton correlation.
  • Applied to HCN and FHF(-) molecules, yielding qualitatively accurate nuclear densities.
  • Demonstrated computational tractability for larger systems.

Conclusions:

  • The multicomponent DFT-in-DFT embedding theory offers an accurate and efficient approach for quantum mechanical calculations.
  • The method successfully treats electron-proton correlation effects.
  • The general theory is adaptable to other partitioning schemes in multicomponent systems.