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Binomial Uncertainty in Molecular Dynamics-Based Reactions Analysis Full article

Journal Journal of Physical Chemistry Letters
ISSN: 1948-7185
Output data Year: 2024, Volume: 15, Number: 7, Pages: 2105-2110 Pages count : 6 DOI: 10.1021/acs.jpclett.3c03540
Authors Tyukina Sofya P. 1,2 , Velmiskina Julia A. 1 , Dmitrienko Artem O. 3,1 , Medvedev Michael G. 1
Affiliations
1 N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninsky prospect 47, 119991 Moscow, Russian Federation
2 National Research University Higher School of Economics, Myasnitskaya Street 20, 101000 Moscow, Russian Federation
3 Department of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1/3, 119991 Moscow, Russian Federation

Abstract: Molecular Dynamics-based reaction analysis is an indispensable tool for studying processes defying the transition-state theory (TST), where the product ratios do not follow energies of transition states. The main class of such processes is ambimodal reactions, which have a post-transition-state bifurcation, so that several products form via a single transition state. Multiple runs of molecular dynamics allow one to sample the space of possibilities and ultimately predict the product ratio without relying on TST; however, no techniques for estimating the reliability of the prediction were proposed so far. Here we show that dynamics runs follow the same rules as die rolls, which paves a simple way for estimating their uncertainty and, accordingly, the number of runs necessary to achieve the required accuracy. Remarkably, we find that the majority of such studies carried out in the last 5 years use far too few runs, so that the product ratios predicted in them can be off by >50% in more than 50% of cases.
Cite: Tyukina S.P. , Velmiskina J.A. , Dmitrienko A.O. , Medvedev M.G.
Binomial Uncertainty in Molecular Dynamics-Based Reactions Analysis
Journal of Physical Chemistry Letters. 2024. V.15. N7. P.2105-2110. DOI: 10.1021/acs.jpclett.3c03540 WOS Scopus OpenAlex
Identifiers:
≡ Web of science: WOS:001167236600001
≡ Scopus: 2-s2.0-85185610381
≡ OpenAlex: W4391836666
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