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Updated: Apr 14, 2026

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method
Published on: July 19, 2019
Performance test of multicomponent quantum mechanical calculation with polarizable continuum model for proton
Yusuke Kanematsu1, Masanori Tachikawa1
1Quantum Chemistry Division, Yokohama City University, Seto 22-2, Kanazawa-ku, Yokohama 236-0027, Japan.
Multicomponent quantum mechanical (MC_QM) calculations improve accuracy for predicting nuclear magnetic resonance (NMR) chemical shifts. This method accounts for quantum effects in hydrogen nuclei and solvent polarization, enhancing computational chemistry predictions.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Spectroscopy
Background:
- Accurate prediction of nuclear magnetic resonance (NMR) chemical shifts is crucial in chemistry.
- Conventional quantum mechanical calculations often struggle to fully capture solvent effects and nuclear quantum effects.
Purpose of the Study:
- To evaluate the performance of multicomponent quantum mechanical (MC_QM) calculations combined with the polarizable continuum model (PCM) for predicting liquid 1H NMR chemical shifts.
- To compare the accuracy of MC_QM-PCM against conventional quantum mechanical methods.
Main Methods:
- MC_QM calculations incorporating hydrogen nuclear quantum effects.
- Polarizable Continuum Model (PCM) to simulate solvent effects.
- Validation against a test set of 80 molecules with experimental liquid 1H NMR chemical shifts.
Main Results:
- MC_QM calculations demonstrated significant improvement over conventional quantum mechanical methods for predicting 1H NMR chemical shifts.
- The PCM component effectively accounted for solvent polarization effects on electronic structure.
- The inclusion of hydrogen nuclear quantum effects in MC_QM led to better geometric predictions.
Conclusions:
- MC_QM calculations with PCM offer enhanced accuracy for predicting NMR chemical shifts.
- The study highlights the importance of including both nuclear quantum effects and solvent polarization in computational models for spectroscopic predictions.
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