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Published on: June 23, 2019
Single switch surface hopping for a model of pyrazine.
Caroline Lasser1, Torben Swart
1Fachbereich Mathematik, Freie Universitat Berlin, 14195 Berlin, Germany. lasser@math.fu-berlin.de
The single switch trajectory surface hopping algorithm accurately simulates pyrazine internal conversion. Its probabilistic version offers superior accuracy, memory efficiency, and speed compared to other methods.
Area of Science:
- Computational chemistry
- Theoretical chemistry
- Chemical dynamics
Background:
- Internal conversion in pyrazine is a key process in photochemistry.
- Simulating nonadiabatic dynamics requires accurate surface hopping algorithms.
- Conical intersections play a crucial role in internal conversion.
Purpose of the Study:
- To test the single switch trajectory surface hopping algorithm for pyrazine internal conversion.
- To compare the single switch algorithm with Tully's fewest switches and Voronin et al.'s methods.
- To evaluate a probabilistic version of the single switch algorithm.
Main Methods:
- Numerical simulations of a two-state three-mode model for pyrazine.
- Implementation and comparison of three surface hopping algorithms: single switch, Tully's fewest switches, and Voronin et al.'s method.
- Modification of the single switch algorithm with a probabilistic accept-reject criterion.
Main Results:
- The single switch algorithm provides the most accurate results among the tested methods.
- The probabilistic single switch algorithm outperforms existing methods in accuracy.
- The probabilistic single switch approach demonstrates improved memory requirements and runtime.
Conclusions:
- The single switch algorithm is a highly accurate method for simulating internal conversion.
- The probabilistic variant of the single switch algorithm offers significant advantages in computational efficiency.
- This enhanced algorithm provides a more robust tool for studying photochemical processes.
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