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A general, recursive, and open-ended response code.

Magnus Ringholm1, Dan Jonsson, Kenneth Ruud

  • 1Department of Chemistry, Centre for Theoretical and Computational Chemistry (CTCC), University of Tromsø-The Arctic University of Norway, N-9037 Tromsø, Norway.

Journal of Computational Chemistry
|February 7, 2014
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Summary
This summary is machine-generated.

We developed new computational methods for calculating molecular properties using time- and perturbation-dependent basis sets. This recursive programming approach enables efficient and accurate response property calculations in quantum chemistry.

Keywords:
density-functional theoryenergy-derivative theorymolecular propertiesrecursive programmingresponse theory

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Response theory is crucial for understanding molecular properties.
  • Previous methods for time- and perturbation-dependent basis sets were limited.
  • Efficient computation of high-order derivatives is computationally intensive.

Purpose of the Study:

  • To implement a new formulation of open-ended response theory.
  • To develop a novel recursive programming technique for analytic response property calculations.
  • To demonstrate the code's capability with high-order derivative calculations.

Main Methods:

  • Implementation of open-ended response theory for time- and perturbation-dependent basis sets.
  • Utilized recursive programming for compact and efficient code development.
  • Calculations performed at Hartree-Fock and density functional theory levels.

Main Results:

  • Developed a novel, compact code for analytic response property calculations.
  • The recursive scheme is applicable to linear-scaling formulations and relativistic wave functions.
  • Successfully computed third geometrical derivatives of frequency-dependent second hyperpolarizability for HSOH.

Conclusions:

  • The new implementation provides an efficient and versatile tool for response theory calculations.
  • Recursive programming significantly simplifies the calculation of complex response properties.
  • The method is suitable for advanced computational chemistry applications.