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Reciprocal transformation of seniority number restricted wave function.

Chen ZhouZhenhua ChenWei Wu
Published in: The Journal of chemical physics (2018)
In this work, an extension of Malmqvist's algorithm is efficiently implemented for the reciprocal transformation of a seniority number restricted multideterminant wave function constructed by nonorthogonal orbitals to an equivalent one constructed by biorthogonal orbitals. Test calculations show that the novel algorithm is capable of applying to transform quite large nonorthogonal orbital based wave function of distributing 22 electrons on 22 orbitals with the maximum seniority number sector and for the evaluation of a three-body operator, at an affordable memory cost of about 800 GB, which is only about one tenth of the size of the corresponding complete active space. Moreover, the algorithm displays improved computational efficiency, due to the compactness of seniority number restricted multi-determinant wave functions.
Keyphrases
  • density functional theory
  • machine learning
  • deep learning
  • wastewater treatment
  • molecular dynamics
  • molecular dynamics simulations
  • working memory