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This study introduces a new computational method for calculating molecular energies, accurately predicting structures for challenging molecular aggregates. The approach resolves discrepancies between computational predictions and experimental data.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Accurate prediction of molecular structures is crucial in chemistry.
  • Existing computational methods sometimes fail to reproduce experimental structures for complex molecular systems.
  • Discrepancies between computed and experimental structures highlight limitations in current theoretical models.

Purpose of the Study:

  • To present the first local density-fitted multicomponent density functional theory (DFT) implementation.
  • To assess the accuracy of this new DFT approach for calculating anharmonic zero-point energies.
  • To resolve observed mismatches between computationally predicted and experimentally determined structures in molecular aggregates.

Main Methods:

  • Development and application of a local density-fitted multicomponent DFT implementation.
  • Calculation of anharmonic zero-point energies for challenging molecular aggregates.
  • Utilizing nuclear-electronic orbital (NEO) energies for thermodynamic corrections.
  • Comparison with vibrational perturbation theory (VPT) for validation.

Main Results:

  • The new DFT implementation successfully resolves energetic ordering issues in challenging molecular aggregates.
  • Accurate prediction of experimentally observed structures is achieved through NEO-based thermodynamic corrections.
  • Excellent agreement with vibrational perturbation theory was observed for the smallest system.
  • The developed code exhibits good scalability with system size.
  • Density fitting approximations showed a negligible impact on accuracy.

Conclusions:

  • The local density-fitted multicomponent DFT method is a robust tool for calculating anharmonic zero-point energies.
  • This approach accurately predicts structures of molecular aggregates where other methods fail.
  • The implementation demonstrates efficient performance and minimal approximation errors, paving the way for future computational studies.