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Published on: July 19, 2019
The dispersion interaction between quantum mechanics and effective fragment potential molecules
Quentin A Smith1, Klaus Ruedenberg, Mark S Gordon
1Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50011, USA.
A new method accurately and rapidly calculates dispersion energy between molecules modeled with the general effective fragment potential (EFP2) and quantum mechanics (QM) methods. This approach leverages existing calculation terms for efficiency.
Area of Science:
- Computational chemistry
- Theoretical chemistry
- Molecular modeling
Background:
- Accurate calculation of intermolecular forces is crucial in molecular modeling.
- Existing methods for dispersion energy calculation between different modeling approaches can be computationally expensive.
- The general effective fragment potential (EFP2) method offers a computationally efficient alternative for modeling molecular systems.
Purpose of the Study:
- To develop a computationally efficient method for calculating dispersion energy between systems modeled by EFP2 and full quantum mechanics (QM).
- To enable accurate assessment of dispersion interactions in hybrid QM/EFP2 systems.
Main Methods:
- Calculation of C(6) dispersion coefficients using EFP2 dynamic polarizabilities and QM orbital information.
- Estimation of C(8) terms from C(6) terms for improved accuracy.
- Evaluation of two damping functions for the dispersion energy.
- Utilizing pre-computed terms from standard Hartree-Fock (HF) or EFP2 calculations.
Main Results:
- The proposed method accurately calculates dispersion energy between EFP2 and QM molecules.
- The method demonstrates significant speed improvements compared to traditional approaches.
- The inclusion of C(8) terms and damping functions enhances agreement with established methods like symmetry adapted perturbation theory.
Conclusions:
- The developed method provides a fast and accurate way to compute dispersion interactions in hybrid QM/EFP2 systems.
- This approach reduces the computational cost of modeling complex molecular interactions.
- The method is readily applicable within existing computational chemistry workflows.
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