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

@article{Tahir2022,
 abstract = {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.},
 archiveprefix = {arXiv},
 arxivid = {2109.00742},
 author = {Tahir, Muhammad N. and Zhu, Tong and Shang, Honghui and Li, Jia and Blum, Volker and Ren, Xinguo},
 doi = {10.1021/acs.jctc.2c00512},
 eprint = {2109.00742},
 file = {:C\:/Users/shanghui/Documents/work/shanghui_latex/my_publication/2022_Tahir_JCTC_RPA_force.pdf:pdf},
 issn = {1549-9618},
 journal = {Journal of Chemical Theory and Computation},
 month = {sep},
 number = {9},
 pages = {5297--5311},
 title = {Localized Resolution of Identity Approach to the Analytical Gradients of Random-Phase Approximation Ground-State Energy: Algorithm and Benchmarks},
 url = {https://pubs.acs.org/doi/10.1021/acs.jctc.2c00512},
 volume = {18},
 year = {2022}
}