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Binomial Uncertainty in Molecular Dynamics-Based Reactions Analysis

Sofya P. Tyukina, Julia A. Velmiskina, Артем О. Дмитриенко, Michael G. Medvedev

2024The Journal of Physical Chemistry Letters11 citationsDOI

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.

Topics & Concepts

Product (mathematics)Statistical physicsMolecular dynamicsState spaceReliability (semiconductor)State (computer science)Transition state theorySpace (punctuation)Computer scienceDynamics (music)MathematicsThermodynamicsStatisticsPhysicsAlgorithmComputational chemistryChemistryQuantum mechanicsPower (physics)KineticsGeometryAcousticsReaction rate constantOperating systemAdvanced Chemical Physics StudiesMolecular Junctions and NanostructuresMachine Learning in Materials Science
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