SSAIMS-Stochastic-Selection Ab Initio Multiple Spawning for Efficient Nonadiabatic Molecular Dynamics

Basile F.E. Curchod*, William J. Glover, Todd J. Martínez

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

22 Citations (Scopus)

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 ab initio multiple spawning dynamics. We show that this procedure can reproduce the results of full ab initio multiple spawning dynamics in cases where the uncoupled groups of trajectory basis functions 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.

Original languageEnglish
Pages (from-to)6133-6143
Number of pages11
JournalJournal of Physical Chemistry A
Volume124
Issue number30
DOIs
Publication statusPublished - 30 Jul 2020

Bibliographical note

Funding Information:
This work was supported by the AMOS program within the Chemical Sciences, Geosciences and Biosciences Division of the Office of Basic Energy Sciences, Office of Science, US Department of Energy. This work used the XStream computational resource supported by the NSF MRI Program (Grant No. ACI-1429830). B.F.E.C acknowledges the Swiss National Science Foundation for the fellowship P2ELP2_151927. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No 701355 (NAMDIA) and 803718 (SINDAM). W.J.G. acknowledges the National Natural Science Foundation of China Young Scientist Fund 21603145 and International Young Scientist Fund 21851110758 and thanks NYU Shanghai for startup funds.

Publisher Copyright:
Copyright © 2020 American Chemical Society.

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