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Noncovalent Interactions from Models for the Møller-Plesset Adiabatic Connection
Kimberly J Daas1, Eduardo Fabiano2,3, Fabio Della Sala2,3
1Department of Chemistry & Pharmaceutical Sciences and Amsterdam Institute of Molecular and Life Sciences (AIMMS), Faculty of Science, Vrije Universiteit, De Boelelaan 1083, 1081HV Amsterdam, The Netherlands.
Accurate simulation of noncovalent interactions (NCIs) is vital. New models based on Møller-Plesset adiabatic connection interpolation accurately capture NCIs without dispersion corrections, outperforming existing methods.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Materials science
Background:
- Noncovalent interactions (NCIs) are fundamental to molecular behavior and chemical processes.
- Accurate simulation of NCIs is critical across diverse scientific fields, including drug discovery and materials design.
- Existing computational methods often struggle with the accurate and efficient description of NCIs.
Purpose of the Study:
- To develop accurate and computationally efficient models for simulating noncovalent interactions.
- To improve the description of correlation energy within the Møller-Plesset adiabatic connection framework.
- To create models that accurately capture NCIs without the need for empirical dispersion corrections.
Main Methods:
- Interpolation along the Møller-Plesset adiabatic connection (MP AC).
- Approximation of correlation energy, recovering MP2 at low coupling strengths and known large-coupling behavior.
- Development of models that are size consistent for nondegenerate ground states.
Main Results:
- The proposed models accurately describe NCIs, particularly for π-stacking complexes and the L7 dataset.
- These models exhibit performance comparable to or exceeding state-of-the-art dispersion-corrected functionals.
- The computational cost is similar to double hybrid methods, offering an efficient alternative.
Conclusions:
- Interpolation along the MP AC provides a robust and accurate method for simulating NCIs.
- The developed models offer a cost-effective and accurate alternative to existing methods for NCI calculations.
- These advancements have significant implications for computational chemistry and related disciplines requiring precise NCI modeling.
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