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Implementation of energy and gradient for the TDDFT-approximate auxiliary function (aas) method.

Yuchen Wang1, Shana Havenridge1, Christine M Aikens1

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We developed a faster approximate time-dependent density functional theory method (TDDFT-aas) by simplifying calculations. This new approach accurately predicts nanoparticle spectra and enables emission energy calculations for molecules.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Materials Science

Background:

  • Time-dependent density functional theory (TDDFT) is crucial for simulating excited-state properties.
  • Accurate calculations of electron integrals in TDDFT can be computationally expensive.
  • Existing methods like TDDFT+TB rely on specific parameters, limiting broader applicability.

Purpose of the Study:

  • To implement and validate a new approximate TDDFT method, TDDFT-aas, for reduced computational cost.
  • To introduce a novel coupling matrix formulation independent of tight-binding parameters.
  • To enable the calculation of excited-state gradients for molecular emission energies.

Main Methods:

  • Implemented the time-dependent density functional theory approximate auxiliary s function (TDDFT-aas) method.
  • Approximated two-center electron integrals in the K coupling matrix to reduce computational expense.
  • Utilized a new gamma function in the coupling matrix, independent of tight-binding parameters.

Main Results:

  • TDDFT-aas shows good agreement with established TDDFT and TDDFT+TB methods for silver and gold nanoparticle absorption spectra.
  • The method successfully reduces computational cost compared to exact integral calculations.
  • Analytical excited-state gradients for TDDFT-aas were successfully implemented.

Conclusions:

  • TDDFT-aas provides a computationally efficient and accurate alternative for excited-state calculations.
  • The method's independence from tight-binding parameters enhances its versatility.
  • This work paves the way for calculating molecular emission energies using an approximate TDDFT approach.