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Published on: August 2, 2019
Surface hopping with nuclear quantum effects through path-integral coarse graining
Jia-Xi Zeng1,2, Xin-Zheng Li2,3,4, Wei Fang1,5
1Department of Chemistry, Fudan University, Shanghai 200438, People's Republic of China.
This study introduces a new method combining centroid molecular dynamics and fewest-switches surface hopping to accurately model nuclear quantum effects in chemical reactions. The approach efficiently captures tunneling and zero-point energy, crucial for understanding nonadiabatic dynamics.
Area of Science:
- Chemical Physics
- Quantum Dynamics
- Computational Chemistry
Background:
- Nuclear quantum effects (NQEs), including tunneling and zero-point energy, are vital for accurately describing nonadiabatic molecular dynamics.
- Existing methods often face computational challenges when incorporating these effects.
Purpose of the Study:
- To develop a computationally efficient and robust scheme for modeling nonadiabatic dynamics with NQEs.
- To accurately predict reaction rates and correlation functions in systems exhibiting quantum phenomena.
Main Methods:
- A novel mixed quantum-classical approach combining centroid molecular dynamics with fewest-switches surface hopping (FSSH) is proposed, termed centroid-surface hopping.
- Path-integral coarse-graining is employed to mitigate computational costs associated with path-integral simulations.
- The method is validated against exact quantum mechanical calculations on two-state, one-dimensional model systems.
Main Results:
- The centroid-surface hopping method accurately predicts reaction rates and correlation functions across various regimes, including deep tunneling.
- Computational efficiency comparable to classical FSSH is achieved.
- Quantitative agreement with exact quantum mechanical results is demonstrated for all tested parameter sets.
Conclusions:
- The developed method provides an efficient and accurate means to incorporate NQEs in nonadiabatic dynamics.
- This advancement facilitates future modeling of complex chemical reactions and processes involving quantum effects.
- The approach shows promise for broader applications in computational chemistry and chemical physics.
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