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Multicomponent wavefunction-in-DFT embedding for positronium molecules.

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This study extends wavefunction-in-density functional theory (WF-in-DFT) embedding for multicomponent systems. This method accurately predicts positron-binding energies while significantly reducing computational costs.

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Area of Science:

  • Quantum chemistry
  • Computational chemistry
  • Theoretical chemistry

Background:

  • The projector operator embedding scheme is extended to a multicomponent (MC) framework.
  • A molecular system is partitioned into a wavefunction (WF) subsystem and a density functional theory (DFT) environment.
  • This WF-in-DFT approach reduces computational expense by truncating the WF subsystem basis set, introducing controllable error.

Purpose of the Study:

  • To explore the applicability of the MC extension of the WF-in-DFT scheme.
  • To investigate positron-binding energies in positron-anion complexes.
  • To assess the computational cost reduction and accuracy of the embedding scheme.

Main Methods:

  • Extension of the Manby et al. projector operator embedding scheme to an MC framework.
  • Implementation of third-order propagator-in-DFT calculations.
  • Application to positron-anion complexes of alkoxides and carboxylates with varying carbon chain lengths.

Main Results:

  • Selecting a WF subsystem with the positron and oxygen atoms yielded errors of 0.1 eV or lower in positron-binding energies.
  • Basis set size was reduced by 33% to 55% using the WF-in-DFT partition.
  • Computational cost reduction enabled complete basis set limit extrapolations for improved predictions.

Conclusions:

  • The WF-in-DFT embedding scheme significantly reduces computational costs while maintaining high accuracy for positron-binding energies.
  • Positronium aliphatic alkoxides are predicted to be stable by 0.3 eV with respect to positronium emission.
  • Positronium carboxylates (aromatic and aliphatic) are predicted to be stable by 1.3 eV.