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Single Excitation Energies Obtained from the Ensemble "HOMO-LUMO Gap": Exact Results and Approximations.

Timothy GouldZahed HashimiLeeor KronikStephen G Dale
Published in: The journal of physical chemistry letters (2022)
In calculations based on density functional theory, the "HOMO-LUMO gap" (difference between the highest occupied and lowest unoccupied molecular orbital energies) is often used as a low-cost, ad hoc approximation for the lowest excitation energy. Here we show that a simple correction based on rigorous ensemble density functional theory makes the HOMO-LUMO gap exact in principle and significantly more accurate in practice. The introduced perturbative ensemble density functional theory approach predicts different and useful values for singlet-singlet and singlet-triplet excitations, using semilocal and hybrid approximations. Excitation energies are similar in quality to time-dependent density functional theory, especially at high fractions of exact exchange. The approach therefore offers an easy-to-implement and low-cost route to robust prediction of molecular excitation energies.
Keyphrases
  • density functional theory
  • low cost
  • energy transfer
  • molecular dynamics
  • quantum dots
  • convolutional neural network
  • healthcare
  • neural network
  • quality improvement
  • single molecule
  • mass spectrometry
  • deep learning