LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Implementation of the Coupled-Cluster Method with Single, Double, and Triple Excitations using Tensor Decompositions

Photo by kimsuzi08 from unsplash

We report a complete implementation of the coupled-cluster method with single, double, and triple excitations (CCSDT) where tensor decompositions are used to reduce its scaling and overall computational costs. For… Click to show full abstract

We report a complete implementation of the coupled-cluster method with single, double, and triple excitations (CCSDT) where tensor decompositions are used to reduce its scaling and overall computational costs. For the decomposition of the electron repulsion integrals the standard density fitting (or Cholesky decomposition) format is used. The coupled-cluster single and double amplitudes are treated conventionally, and for the triple amplitudes tensor we employ the Tucker-3 compression formula, $t_{ijk}^{abc} \approx t_{XYZ} \,U^X_{ai}\,U^Y_{bj} \,U^Z_{ck}$. The auxiliary quantities $U^X_{ai}$ come from singular value decomposition (SVD) of an approximate triple amplitudes tensor based on perturbation theory. The efficiency of the proposed method relies on an observation that the dimension of the ``compressed'' tensor $t_{XYZ}$ sufficient to deliver a constant relative accuracy of the correlation energy grows only linearly with the size of the system, $N$. This fact, combined with proper factorization of t...

Keywords: tensor; implementation coupled; single double; cluster method; coupled cluster

Journal Title: Journal of Chemical Theory and Computation
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.