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Published on: June 8, 2022
Interaction energy decomposition methods: comparison and application to covalent interaction assessment
Edyta Dyguda-Kazimierowicz1, Paweł Kędzierski2, W Andrzej Sokalski2
1Institute of Advanced Materials, Department of Chemistry, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, Wrocław, 50-370, Poland. Edyta.Dyguda@pwr.edu.pl.
This study compares various interaction energy partitioning schemes, finding that Hybrid Variation-Perturbation Theory (HVPT) and Localized Molecular Orbital Energy Decomposition (LMOEDA) terms align well with Symmetry-Adapted Perturbation Theory (SAPT) results. Other methods show high basis set sensitivity.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Interaction energy partitioning schemes are crucial for understanding non-covalent interactions.
- Basis set dependency in these schemes leads to varying component values.
- Comparing different methods against benchmark Symmetry-Adapted Perturbation Theory (SAPT) data is essential.
Purpose of the Study:
- To analyze and compare various interaction energy partitioning schemes.
- To investigate the basis set dependency of different energy components.
- To evaluate the validity of specific terms against SAPT benchmarks and assess enzyme catalysis hypotheses.
Main Methods:
- Utilized even-tempered regularized basis sets up to the Hartree-Fock limit.
- Performed Symmetry-Adapted Perturbation Theory (SAPT) calculations.
- Employed Hybrid Variation-Perturbation Theory (HVPT), Localized Molecular Orbital Energy Decomposition (LMOEDA), Kitaura-Morokuma, Reduced Variational Space (RVS), and Absolutely Localized Molecular Orbitals (ALMO) methods.
Main Results:
- HVPT delocalization and LMOEDA polarization terms closely match SAPT polarization and induction terms.
- These consistent terms rapidly saturate with increasing basis set size.
- Kitaura-Morokuma, RVS, and ALMO charge-transfer terms exhibit significant basis set dependency and vanish in the large-basis-set limit.
Conclusions:
- HVPT and LMOEDA provide reliable energy components comparable to SAPT.
- Basis set choice critically impacts charge-transfer terms in KM, RVS, and ALMO methods.
- The ratio of delocalization to electrostatic terms can quantitatively assess covalent interactions in enzyme active sites.
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