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

TL;DR
This paper introduces a localized resolution of identity method for calculating analytical gradients of RPA ground-state energies, enabling accurate molecular geometry optimizations and benchmarks with high precision.
Contribution
It presents a novel formalism and implementation for RPA energy gradients using LRI and density functional perturbation theory, allowing geometry relaxations at the RPA level.
Findings
High numerical precision in RPA gradient calculations.
RPA overestimates bond lengths systematically.
RPA energy hierarchy for water hexamers matches coupled cluster results.
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 show that our approach delivers high numerical precision compared to previous implementations. A careful assessment of the quality of RPA geometries for small molecules reveals that…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Quantum, superfluid, helium dynamics · Nuclear Materials and Properties
