Simultaneous Attenuation of Both Self-Interaction Error and Nondynamic Correlation Error in Density Functional...

Area of Science:

• Quantum Chemistry
• Computational Materials Science
• Electronic Structure Theory

Background:

• The direct random-phase approximation (dRPA) method faces challenges with self-interaction error (SIE) and nondynamic/strong correlation error (NCE).
• Accurate calculation of electronic properties is crucial for understanding chemical reactions and material properties.

Purpose of the Study:

• To develop a method for quantifying SIE and NCE within the adiabatic-connection fluctuation-dissipation (ACFD) theorem.
• To propose a new correlation model, spin-component scaled dRPA (scsRPA), to simultaneously mitigate SIE and NCE.

Main Methods:

• A spin-pair distinctive algorithm was developed to quantify SIE and NCE in dRPA.
• The scsRPA correlation model was formulated by scaling spin components of dRPA.
• Performance was evaluated in conjunction with exact exchange.

Main Results:

• The scsRPA model demonstrates significant improvements over dRPA, PBE, and PBE0 functionals.
• scsRPA accurately describes bonding energies in multireference systems and transition-metal complexes.
• Consistent accuracy was achieved for reaction energies, barriers, and noncovalent interactions in weakly correlated systems.

Conclusions:

• The scsRPA model offers a comprehensive enhancement over existing methods for electronic structure calculations.
• This approach effectively addresses SIE and NCE, leading to improved predictions for diverse chemical systems.
• The developed algorithm and model provide a valuable tool for computational chemistry and materials science research.