Dr Basile Curchod basile.f.curchod@durham.ac.uk
Academic Visitor
SSAIMS - Stochastic-Selection Ab Initio Multiple Spawning for Efficient Nonadiabatic Molecular Dynamics
Curchod, Basile F.E.; Glover, W.J.; Martinez, T.J.
Authors
W.J. Glover
T.J. Martinez
Abstract
Ab initio multiple spawning provides a powerful and accurate way of describing the excited-state dynamics of molecular systems, whose strength resides in the proper description of coherence effects during nonadiabatic processes thanks to the coupling of trajectory basis functions. However, the simultaneous propagation of a large number of trajectory basis functions can be numerically inconvenient. We propose here an elegant and simple solution to this issue, which consists of (i) detecting uncoupled groups of coupled trajectory basis functions, and (ii) selecting stochastically one of these groups to continue the AIMS dynamics. We show that this procedure can reproduce the results of full AIMS dynamics in cases where the uncoupled groups of TBFs stay uncoupled throughout the dynamics (which is often the case in high dimensional problems). We present and discuss the aforementioned idea in detail and provide simple numerical applications on indole, ethylene and protonated formaldimine, highlighting the potential of stochastic-selection ab initio multiple spawning.
Citation
Curchod, B. F., Glover, W., & Martinez, T. (2020). SSAIMS - Stochastic-Selection Ab Initio Multiple Spawning for Efficient Nonadiabatic Molecular Dynamics. The Journal of Physical Chemistry A, 124(30), 6133-6143. https://doi.org/10.1021/acs.jpca.0c04113
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 25, 2020 |
Online Publication Date | Jul 30, 2020 |
Publication Date | Jul 31, 2020 |
Deposit Date | Jun 25, 2020 |
Publicly Available Date | Jul 30, 2020 |
Journal | The Journal of Physical Chemistry A |
Print ISSN | 1089-5639 |
Electronic ISSN | 1520-5215 |
Publisher | American Chemical Society |
Peer Reviewed | Peer Reviewed |
Volume | 124 |
Issue | 30 |
Pages | 6133-6143 |
DOI | https://doi.org/10.1021/acs.jpca.0c04113 |
Public URL | https://durham-repository.worktribe.com/output/1299054 |
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Copyright Statement
This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
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