Insight into organic reactions from the direct random phase approximation and its corrections

Area of Science:

• Computational chemistry
• Quantum chemistry
• Theoretical chemistry

Background:

• Density functional approximations (DFAs) often fail in chemical reactions due to systematic errors.
• Electron correlation is crucial for accurate chemical predictions.
• Many-body approximations offer potential improvements over DFAs.

Purpose of the Study:

• To benchmark the performance of random phase approximation (RPA) and beyond-RPA methods.
• To evaluate these methods on molecular test sets representing common sources of error in DFAs.
• To determine if many-body approximations can overcome limitations of DFAs.

Main Methods:

• Benchmarking RPA and beyond-RPA approximations.
• Utilizing three distinct molecular test sets: atomization/n-homodesmotic reactions, Diels-Alder reaction cycloaddition (DARC), and self-interaction error 11 (SIE11).
• Analyzing performance against errors related to chemical environment, dispersion interactions, and self-interaction.

Main Results:

• Performance evaluation of RPA and beyond-RPA methods across diverse chemical scenarios.
• Identification of strengths and weaknesses of these approximations in addressing specific error sources.
• Comparative analysis of different many-body approximations.

Conclusions:

• Assessment of the ability of considered many-body approximations to handle complex chemical challenges.
• Insights into the suitability of RPA and beyond-RPA for accurate chemical reaction modeling.
• Guidance on selecting appropriate theoretical methods for electronic structure calculations.