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Real-time time-dependent density functional theory using density fitting and the continuous fast multipole method.

Carolin Müller1, Manas Sharma1, Marek Sierka1

  • 1Otto Schott Institute of Materials Research, Friedrich Schiller University of Jena, Jena, Germany.

Journal of Computational Chemistry
|January 19, 2021
PubMed
Summary
This summary is machine-generated.

A new real-time time-dependent density functional theory (RT-TDDFT) implementation in TURBOMOLE is presented. This method efficiently calculates photoabsorption spectra, with computational cost depending on molecular size and dimensionality.

Keywords:
continuous fast multipole methoddensity fittingdensity functional theoryelectron dynamicsreal‐time real‐space TDDFT

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Real-time time-dependent density functional theory (RT-TDDFT) is a powerful method for simulating molecular electronic dynamics.
  • Accurate and efficient implementations are crucial for studying complex molecular systems.

Purpose of the Study:

  • To report an implementation of RT-TDDFT within the TURBOMOLE program package.
  • To benchmark the performance of this new implementation for various molecular systems.
  • To compare RT-TDDFT results with established methods like linear response TDDFT and coupled cluster.

Main Methods:

  • Utilized Gaussian-type orbitals as basis functions.
  • Employed second and fourth order Magnus propagators with self-consistent field and predictor-corrector time integration schemes.
  • Combined density fitting approximation and the continuous fast multipole method for Coulomb contribution calculation.

Main Results:

  • Performance was benchmarked on molecular systems of varying sizes and dimensionalities.
  • For linear alkane chains, density matrix propagation time was comparable to Kohn-Sham (KS) matrix construction.
  • For larger 2D and 3D molecules (up to ~5,000 basis functions), KS matrix evaluation dominated computational effort.
  • Maximum time step was evaluated for molecules of different polarities.

Conclusions:

  • The developed RT-TDDFT implementation provides an efficient tool for calculating photoabsorption spectra.
  • Computational cost is sensitive to molecular dimensionality, with KS matrix evaluation being the bottleneck for larger systems.
  • The results show good agreement with other theoretical methods, validating the implementation.