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Updated: Dec 29, 2025

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method
Published on: July 19, 2019
Ionization energies in solution with the QM:QM approach.
Zsuzsanna Tóth1, Jakub Kubečka, Eva Muchová
1University of Chemistry and Technology Prague, Department of Physical Chemistry, Technická 5, 16628 Prague 6, Czech Republic. petr.slavicek@vscht.cz.
This study introduces a fragment-based quantum mechanics:quantum mechanics (QM:QM) method for calculating electronic processes in condensed phases. The QM:QM approach accurately predicts solvent shifts in vertical ionization energies (VIEs).
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Physical Chemistry
Background:
- Calculating electronic processes in condensed phases is computationally demanding.
- Existing methods like QM/MM or full DFT have limitations.
- Accurate simulation of condensed-phase energetics is crucial for understanding chemical phenomena.
Purpose of the Study:
- To present a practical fragment-based quantum mechanics:quantum mechanics (QM:QM) scheme.
- To evaluate the QM:QM method for simulating vertical electronic processes in condensed phases.
- To compare the QM:QM approach with existing methods for accuracy and suitability.
Main Methods:
- Decomposition of large molecular systems into small, electrostatically interacting fragments.
- Self-consistent field (SCF) calculations for fragment energies within the generated field.
- Summation of fragment energies to obtain the total system energy.
- Application to cytosine and a sodium cation to simulate vertical ionization energies (VIEs).
Main Results:
- The QM:QM scheme accurately simulates the shift in vertical ionization energies (VIEs) from gas to bulk phase.
- DFT-level predictions for solvent shifts and peak widths show good agreement with experimental data for cytosine and sodium cation.
- The QM:QM approach demonstrates superior suitability compared to QM/MM and full DFT methods.
Conclusions:
- The fragment-based QM:QM method offers a practical and accurate approach for condensed-phase electronic energetics.
- The method shows promise for simulating other electronic processes like Auger decay.
- QM:QM provides a viable alternative to computationally expensive or less accurate existing methods.
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