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Lionel Lacombe1, Neepa T Maitra1

  • 1Department of Physics and Astronomy , Hunter College and the Graduate Center of the City University of New York , 695 Park Avenue , New York , New York 10065 , United States.

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New nonadiabatic approximations in time-dependent density functional theory capture crucial dynamics. These methods improve upon adiabatic approximations by reproducing exact potential features, enhancing accuracy in quantum simulations.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Theoretical Chemistry

Background:

  • Time-dependent density functional theory (TDDFT) is a powerful tool for studying electronic dynamics.
  • Adiabatic approximations in TDDFT often fail to capture essential dynamic features of the exchange-correlation potential.
  • Accurate approximations are needed to improve the predictive power of TDDFT.

Purpose of the Study:

  • To develop a new class of nonadiabatic approximations for the time-dependent exchange-correlation potential in TDDFT.
  • To address the limitations of current adiabatic approximations in reproducing dynamical features.
  • To investigate the performance of these novel approximations.

Main Methods:

  • Derivation of nonadiabatic approximations from an exact expression for the time-dependent exchange-correlation potential.
  • Approximation of the one-body reduced density-matrix as a functional of the Kohn-Sham density-matrix.
  • Systematic testing of two proposed approximations on four benchmark examples.

Main Results:

  • The new approximations successfully reproduce dynamical step and peak features present in the exact potential.
  • These features are notably absent in standard adiabatic approximations.
  • Performance evaluation on four examples demonstrates the potential of the developed approximations.

Conclusions:

  • The proposed nonadiabatic approximations offer a significant improvement over existing adiabatic methods in TDDFT.
  • These approximations provide a more accurate description of electronic dynamics by capturing essential features of the exchange-correlation potential.
  • The findings pave the way for more reliable quantum simulations in various chemical and physical systems.