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Self-Consistent Optimization of Excited States within Density-Functional Tight-Binding.

Tim Kowalczyk1,2, Khoa Le2, Stephan Irle1

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We introduce ΔDFTB, a new computational method for accurately describing the excited states of molecules. This approach provides reliable predictions for molecular geometry changes and vibrational frequencies, crucial for understanding excited-state dynamics.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Accurate calculation of molecular excited states is crucial for understanding photochemistry and photophysics.
  • Existing methods like time-dependent linear response in DFTB have limitations for exploring excited-state potential energy surfaces.
  • Density-functional tight-binding (DFTB) offers a computationally efficient approach, but its application to excited states has been limited.

Purpose of the Study:

  • To implement and validate the ΔDFTB method for calculating energies and gradients of the lowest singlet excited state in closed-shell molecules.
  • To assess the accuracy of ΔDFTB for excitation energies, optimized geometries, Stokes shifts, and vibrational frequencies.
  • To provide an efficient computational tool for exploring excited-state potential energy surfaces.

Main Methods:

  • Implementation of energies and gradients for the ΔDFTB method.
  • Application to the lowest singlet excited state of closed-shell molecules.
  • Benchmarking against ΔSCF-DFT and experimental data where applicable.

Main Results:

  • ΔDFTB qualitatively describes molecular geometry changes and vibrational frequencies upon excited-state relaxation.
  • ΔDFTB Stokes shifts show accuracy comparable to ΔSCF-DFT.
  • For larger chromophores, ΔDFTB performance for vertical excitation energies is similar to ΔSCF with the PBE functional.

Conclusions:

  • ΔDFTB successfully extends the DFTB framework to include excited states beyond linear-response methods.
  • The method preserves key properties of the parent ΔSCF approach, offering a robust tool for excited-state calculations.
  • This implementation enables rapid exploration of excited-state potential energy surfaces, filling a significant gap in DFTB capabilities.