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Published on: September 23, 2021
Nuclear magnetic shielding of molecule in solution based on reference interaction site model self-consistent field
Kosuke Imamura1, Takeshi Yamazaki2, Daisuke Yokogawa3
1Department of Molecular Engineering, Graduate School of Engineering, Kyoto University, Kyoto 615-8510, Japan.
A novel computational method, reference interaction site model self-consistent field with spatial electron density distribution (RISM-SCF-SEDD), accurately predicts nuclear magnetic shielding in solutions. This approach enhances the calculation of chemical shifts for various species, outperforming previous models.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Physical Chemistry
Background:
- Calculating nuclear magnetic shielding in solutions is crucial for understanding chemical behavior.
- Existing methods like the polarizable continuum model (PCM) have limitations in accuracy for certain systems.
Purpose of the Study:
- To develop and validate a new computational method for calculating nuclear magnetic shielding in solutions.
- To improve the prediction accuracy of chemical shifts for diverse chemical species.
Main Methods:
- The study introduces the reference interaction site model self-consistent field with spatial electron density distribution (RISM-SCF-SEDD).
- This method accounts for electrostatic solute-solvent interactions by considering electron distribution for a more realistic electronic structure in solution.
- The method was applied to a water molecule in water and to 15N chemical shifts of azines.
Main Results:
- The RISM-SCF-SEDD method demonstrated accurate predictions of chemical shifts, showing good agreement with experimental and previous computational studies.
- Validation included examining the effects of solvent temperature, density, and species, with improved accuracy for polar solvents.
- The method provided more realistic results for methanol and acetone compared to the PCM.
Conclusions:
- The RISM-SCF-SEDD method offers a more quantitative and accurate approach for predicting nuclear magnetic shielding and chemical shifts in solutions.
- This advancement is particularly beneficial for systems challenging for traditional methods like PCM.
- The developed method holds promise for broader applications in computational chemistry and materials science.
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