AI Article Synopsis

  • The authors present efficient methods for the multilevel CC2 and CCSD models to handle large molecular systems.
  • As the system size increases, these methods show favorable scaling properties, allowing for computations with a significantly reduced basis of molecular orbitals.
  • The combination of a truncated approach and Cholesky decomposition makes it possible to accurately study large systems (over a thousand atoms), as shown in their example with paranitroaniline in aqueous solution.

Article Abstract

We present efficient implementations of the multilevel CC2 (MLCC2) and multilevel CCSD (MLCCSD) models. As the system size increases, MLCC2 and MLCCSD exhibit the scaling of the lower-level coupled cluster model. To treat large systems, we combine MLCC2 and MLCCSD with a reduced-space approach in which the multilevel coupled cluster calculation is performed in a significantly truncated molecular orbital basis. The truncation scheme is based on the selection of an active region of the molecular system and the subsequent construction of localized Hartree-Fock orbitals. These orbitals are used in the multilevel coupled cluster calculation. The electron repulsion integrals are Cholesky decomposed using a screening protocol that guarantees accuracy in the truncated molecular orbital basis and reduces computational cost. The Cholesky factors are constructed directly in the truncated basis, ensuring low storage requirements. Systems for which Hartree-Fock is too expensive can be treated by using a multilevel Hartree-Fock reference. With the reduced-space approach, we can handle systems with more than a thousand atoms. This is demonstrated for paranitroaniline in aqueous solution.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016205PMC
http://dx.doi.org/10.1021/acs.jctc.0c00590DOI Listing

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