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Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks.

Publication ,  Journal Article
Tahir, MN; Zhu, T; Shang, H; Li, J; Blum, V; Ren, X
Published in: Journal of chemical theory and computation
September 2022

We develop and implement a formalism which enables calculating the analytical gradients of particle-hole random-phase approximation (RPA) ground-state energy with respect to the atomic positions within the atomic orbital basis set framework. Our approach is based on a localized resolution of identity (LRI) approximation for evaluating the two-electron Coulomb integrals and their derivatives, and the density functional perturbation theory for computing the first-order derivatives of the Kohn-Sham (KS) orbitals and orbital energies. Our implementation allows one to relax molecular structures at the RPA level using both Gaussian-type orbitals (GTOs) and numerical atomic orbitals (NAOs). Benchmark calculations against previous implementations show that our approach delivers adequate numerical precision, highlighting the usefulness of LRI in the context of RPA gradient evaluations. A careful assessment of the quality of RPA geometries for small molecules reveals that post-KS RPA systematically overestimates the bond lengths. We furthermore optimized the geometries of the four low-lying water hexamers-cage, prism, cyclic, and book isomers, and determined the energy hierarchy of these four isomers using RPA. The obtained RPA energy ordering is in good agreement with that yielded by the coupled cluster method with single, double and perturbative triple excitations, despite that the dissociation energies themselves are appreciably underestimated. The underestimation of the dissociation energies by RPA is well corrected by the renormalized single excitation correction.

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Published In

Journal of chemical theory and computation

DOI

EISSN

1549-9626

ISSN

1549-9618

Publication Date

September 2022

Volume

18

Issue

9

Start / End Page

5297 / 5311

Related Subject Headings

  • Chemical Physics
  • 3407 Theoretical and computational chemistry
  • 3406 Physical chemistry
  • 0803 Computer Software
  • 0601 Biochemistry and Cell Biology
  • 0307 Theoretical and Computational Chemistry
 

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Tahir, M. N., Zhu, T., Shang, H., Li, J., Blum, V., & Ren, X. (2022). Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks. Journal of Chemical Theory and Computation, 18(9), 5297–5311. https://doi.org/10.1021/acs.jctc.2c00512
Tahir, Muhammad N., Tong Zhu, Honghui Shang, Jia Li, Volker Blum, and Xinguo Ren. “Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks.Journal of Chemical Theory and Computation 18, no. 9 (September 2022): 5297–5311. https://doi.org/10.1021/acs.jctc.2c00512.
Tahir MN, Zhu T, Shang H, Li J, Blum V, Ren X. Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks. Journal of chemical theory and computation. 2022 Sep;18(9):5297–311.
Tahir, Muhammad N., et al. “Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks.Journal of Chemical Theory and Computation, vol. 18, no. 9, Sept. 2022, pp. 5297–311. Epmc, doi:10.1021/acs.jctc.2c00512.
Tahir MN, Zhu T, Shang H, Li J, Blum V, Ren X. Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks. Journal of chemical theory and computation. 2022 Sep;18(9):5297–5311.
Journal cover image

Published In

Journal of chemical theory and computation

DOI

EISSN

1549-9626

ISSN

1549-9618

Publication Date

September 2022

Volume

18

Issue

9

Start / End Page

5297 / 5311

Related Subject Headings

  • Chemical Physics
  • 3407 Theoretical and computational chemistry
  • 3406 Physical chemistry
  • 0803 Computer Software
  • 0601 Biochemistry and Cell Biology
  • 0307 Theoretical and Computational Chemistry