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March 5, 2026The Journal of Physical Chemistry A2 citationsOpen Access

A Novel Implementation of CCSD Analytic Gradients Using Cholesky Decomposition of the Two-Electron Integrals and Abelian Point-Group Symmetry

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LMLuca MelegaTNTommaso NottoliJGJürgen Gauss

Key Points

  • The research aims to enhance the efficiency of CCSD analytic gradients using Cholesky decomposition and symmetry.
  • Combined Cholesky decomposition of electron-repulsion integrals with point-group symmetry.
  • Utilized a symmetry-adapted two-step algorithm for integral decomposition.
  • Computed derivatives of Cholesky vectors based on nuclear displacements.
  • Conducted geometry optimizations on symmetric systems with numerous basis functions.
  • The implementation shows significant computational gains in efficiency.
  • Geometry optimizations successfully handled systems with hundreds of basis functions.
  • The method effectively exploits point-group symmetry for enhanced performance.

Abstract

We present a novel and efficient implementation of coupled-cluster with singles and doubles (CCSD) analytic gradients that combines the Cholesky decomposition (CD) of electron-repulsion integrals with the exploitation of Abelian point-group symmetry. This approach is particularly effective for medium-sized and large symmetric molecular systems. The CD of two-electron integrals is performed by using a symmetry-adapted two-step algorithm, while the derivatives of the Cholesky vectors are computed with respect to symmetry-adapted nuclear displacements and contracted on-the-fly with the CCSD density matrices. Geometry optimizations of symmetric systems with several hundreds of basis functions have been carried out to assess the efficiency of our implementation and quantify the computational gain provided by the exploitation of point-group symmetry.

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Cite This Study

Melega et al. (2026) studied this question.

synapsesocial.com/papers/69a91cf1d6127c7a504bfdd9https://doi.org/10.1021/acs.jpca.5c08579
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