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On the inclusion of one double within CIS and TDDFT.

Vishikh AthavaleHung-Hsuan TehJoseph E Subotnik
Published in: The Journal of chemical physics (2021)
We present an improved approach for generating a set of optimized frontier orbitals (HOMO and LUMO) that minimizes the energy of one double configuration. We further benchmark the effect of including such a double within a rigorous configuration interaction singles or a parameterized semi-empirical time-dependent density functional theory Hamiltonian for a set of test cases. Although we cannot quite achieve quantitative accuracy, the algorithm is quite robust and routinely delivers an enormous qualitative improvement to standard single-reference electronic structure calculations.
Keyphrases
  • density functional theory
  • molecular dynamics
  • machine learning
  • deep learning
  • mass spectrometry