A diabatic surface hopping algorithm based on time dependent perturbation theory and semiclassical analysis
Publication
, Journal Article
Fang, D; Lu, J
Published in: Multiscale Modeling and Simulation
January 1, 2018
Surface hopping algorithms are popular tools to study dynamics of the quantumclassical mixed systems. In this paper, we propose a surface hopping algorithm in diabatic representations, based on time dependent perturbation theory and semiclassical analysis. The algorithm can be viewed as a Monte Carlo sampling algorithm on the semiclassical path space for a piecewise deterministic path with stochastic jumps between the energy surfaces. The algorithm is validated numerically and it shows good performance in both weak coupling and avoided crossing regimes.
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Published In
Multiscale Modeling and Simulation
DOI
EISSN
1540-3467
ISSN
1540-3459
Publication Date
January 1, 2018
Volume
16
Issue
4
Start / End Page
1603 / 1622
Related Subject Headings
- Applied Mathematics
- 4901 Applied mathematics
- 0102 Applied Mathematics
Citation
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Fang, D., & Lu, J. (2018). A diabatic surface hopping algorithm based on time dependent perturbation theory and semiclassical analysis. Multiscale Modeling and Simulation, 16(4), 1603–1622. https://doi.org/10.1137/17M1138042
Fang, D., and J. Lu. “A diabatic surface hopping algorithm based on time dependent perturbation theory and semiclassical analysis.” Multiscale Modeling and Simulation 16, no. 4 (January 1, 2018): 1603–22. https://doi.org/10.1137/17M1138042.
Fang D, Lu J. A diabatic surface hopping algorithm based on time dependent perturbation theory and semiclassical analysis. Multiscale Modeling and Simulation. 2018 Jan 1;16(4):1603–22.
Fang, D., and J. Lu. “A diabatic surface hopping algorithm based on time dependent perturbation theory and semiclassical analysis.” Multiscale Modeling and Simulation, vol. 16, no. 4, Jan. 2018, pp. 1603–22. Scopus, doi:10.1137/17M1138042.
Fang D, Lu J. A diabatic surface hopping algorithm based on time dependent perturbation theory and semiclassical analysis. Multiscale Modeling and Simulation. 2018 Jan 1;16(4):1603–1622.
Published In
Multiscale Modeling and Simulation
DOI
EISSN
1540-3467
ISSN
1540-3459
Publication Date
January 1, 2018
Volume
16
Issue
4
Start / End Page
1603 / 1622
Related Subject Headings
- Applied Mathematics
- 4901 Applied mathematics
- 0102 Applied Mathematics