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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Time-dependent density functional theory (TD-DFT) methods are crucial for calculating excited state energies.
  • Optimally tuned range-separated hybrid (OT-RSH) functionals have shown promise in improving charge transfer (CT) excited state calculations.
  • Current RSH approaches rely on frontier molecular orbitals (FMOs) for parameterization, linking highest occupied MO energy to ionization potential and lowest unoccupied MO energy to electron affinity.

Purpose of the Study:

  • To investigate the accuracy of OT-RSH functionals for describing higher-energy charge transfer excited states.
  • To demonstrate the limitations of the standard RSH parameterization for CT states involving non-FMOs.
  • To propose a generalized parameter tuning procedure for improved CT state description.

Main Methods:

  • Application of optimally tuned range-separated hybrid (OT-RSH) functionals within time-dependent density functional theory.
  • Analysis of charge transfer excited states, particularly those involving non-frontier molecular orbitals.
  • Development and testing of a generalized parameter tuning procedure for RSH functionals.

Main Results:

  • The standard OT-RSH approach provides a less accurate description of CT states that involve non-frontier molecular orbitals.
  • Higher-energy CT states require a generalized parameter tuning procedure that explicitly considers the CT process.
  • The optimal tuning parameter should account for the specific characteristics of the CT state itself for accurate calculations.

Conclusions:

  • The standard parameterization of RSH functionals is insufficient for accurately describing all types of CT excited states, especially higher-energy ones.
  • A generalized tuning procedure that incorporates the CT process is necessary for high-quality calculations of these states.
  • Accurate modeling of donor-acceptor systems requires CT-state-aware parameterization of hybrid functionals.