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Benchmarking the Effective Fragment Potential Dispersion Correction on the S22 Test Set
Shinae Kim, Chelsea M Kaliszewski, Emilie B Guidez1
1Department of Chemistry , University of Colorado Denver , Denver , Colorado 80217 , United States.
A new first-principles dispersion correction (EFP) accurately models interactions in density functional theory (DFT) and Hartree-Fock (HF) methods. This approach avoids empirical parameters, offering a robust alternative for various chemical systems.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Modeling dispersion interactions in Density Functional Theory (DFT) often relies on empirical parameters, limiting accuracy.
- Accurate calculation of non-covalent interactions is crucial for understanding molecular systems.
Purpose of the Study:
- To compare the accuracy of empirical dispersion corrections with a first-principles derived effective fragment potential (EFP) dispersion correction.
- To evaluate these methods for calculating interaction energies and intermolecular distances in molecular dimers.
Main Methods:
- Calculated equilibrium interaction energies and intermolecular distances for the S22 test set dimers.
- Employed Density Functional Theory with Dispersion (DFT-D) and Hartree-Fock with Dispersion (HF-D) methods.
- Utilized coupled cluster CCSD(T) at the complete basis set (CBS) limit as the reference method.
Main Results:
- The HF-D(EFP) method accurately predicted dimerization energies and distances for hydrogen-bonded systems without empirical parameters.
- B3LYP-D(EFP) showed comparable or superior performance to other DFT-D and HF-D methods for dispersion-dominant and mixed systems.
- The first-principles derived -D(EFP) correction proved effective across various system types.
Conclusions:
- The first-principles derived -D(EFP) correction offers a reliable, non-empirical alternative to traditional empirical dispersion corrections.
- HF-D(EFP) is accurate for hydrogen-bonded systems, while B3LYP-D(EFP) is suitable for dispersion-dominant and mixed systems.
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