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

  • Muhammad N. Tahir
  • , Tong Zhu
  • , Honghui Shang
  • , Jia Li*
  • , Volker Blum*
  • , Xinguo Ren*
  • *此作品的通讯作者
  • Tsinghua University
  • Duke University
  • CAS - Institute of Computing Technology
  • Duke University
  • CAS - Institute of Physics
  • Songshan Lake Materials Laboratory

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
页(从-至)5297-5311
页数15
期刊Journal of Chemical Theory and Computation
18
9
DOI
出版状态已出版 - 13 9月 2022
已对外发布

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