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Sascha Klawohn1, Martin Kaupp1, Amir Karton2

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This study screens electronic structure methods for mixed-valence oxo complexes, finding no single method perfectly captures both charge localization and delocalization. Specific local hybrid, global hybrid, and range-separated hybrid functionals show promise.

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Area of Science:

  • Computational chemistry
  • Inorganic chemistry
  • Quantum chemistry

Background:

  • Mixed-valence (MV) oxo complexes present challenges in accurately describing charge and spin density localization versus delocalization.
  • Environmental effects can complicate computational studies of MV systems, necessitating simpler gas-phase models.

Purpose of the Study:

  • To screen various density-functional methods for their accuracy in modeling charge and spin density behavior in gas-phase MV oxo complexes.
  • To provide benchmark coupled-cluster energies for evaluating the performance of different electronic structure methods.

Main Methods:

  • Utilized benchmark coupled-cluster (CC) calculations (CCSDT(Q)/CBS and CCSD(T)/CBS) to establish reliable energy data.
  • Screened a range of density-functional approximations, including generalized gradient approximations, global hybrids, range-separated hybrids, and local hybrids.
  • Incorporated experimental data for V4O10- to validate computational findings for delocalized systems.

Main Results:

  • No single density-functional method accurately describes both highly localized (e.g., Al2O4-) and highly delocalized (e.g., V4O10-) MV oxo complexes.
  • Methods with large exact-exchange admixtures are better for localized systems, while lower admixtures are preferred for delocalized d1d0 systems.
  • A local hybrid (Lh-SVWN), a global hybrid (MN15), and a range-separated hybrid (ωB97X-D) demonstrated the best overall performance.

Conclusions:

  • The choice of electronic structure method is critical for accurately predicting charge and spin density behavior in MV oxo complexes.
  • The screened methods offer a basis for selecting appropriate computational tools for future studies of MV systems.
  • Vibrational data are provided for experimental comparison, aiding further validation of computational models.