Efficient Implementation of the Random Phase Approximation with Domain-Based Local Pair Natural Orbitals

Area of Science:

• Quantum Chemistry
• Computational Chemistry
• Theoretical Chemistry

Background:

• Accurate calculation of molecular properties is crucial for understanding chemical reactions and designing new materials.
• Traditional methods for electronic structure calculations can be computationally expensive, limiting their application to larger systems.

Purpose of the Study:

• To present an efficient implementation of the direct random phase approximation (RPA) within the domain-based local pair natural orbital (DLPNO) framework for molecular systems.
• To enable accurate computation of reaction energies and potential energy surfaces with reduced computational cost.

Main Methods:

• Implementation of direct random phase approximation (RPA) using domain-based local pair natural orbital (DLPNO) techniques.
• Utilized loose, normal, and tight parameter settings for DLPNO-RPA.
• Applied the method to calculate basis set-converged binding energies for large molecules.

Main Results:

• DLPNO-RPA achieves 99.7-99.95% accuracy in total correlation energy compared to canonical RPA.
• Substantial reduction in computational costs for highly accurate calculations.
• Excellent agreement between DLPNO-RPA binding energies and high-level reference data (coupled cluster, diffusion Monte Carlo).

Conclusions:

• The DLPNO-RPA method offers a computationally efficient and accurate approach for molecular electronic structure calculations.
• This development facilitates the routine application of RPA-based methods in molecular quantum chemistry.
• Enables accurate prediction of binding energies for large molecular systems.