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Reaction dynamics of Diels–Alder reactions from machine learned potentials

Tom A. Young, Tristan Johnston-Wood, Hanwen Zhang, Fernanda Duarte

2022Physical Chemistry Chemical Physics52 citationsDOIOpen Access PDF

Abstract

-quality classical and quantum dynamics, and obtain dynamical quantities such as product ratios and free energies from non-static methods. For ambimodal reactions, product distributions were found to be strongly dependent on the QM method and less so on the type of dynamics propagated.

Topics & Concepts

Ab initioQuantumProduct (mathematics)Computational chemistryDiels–Alder reactionReaction dynamicsDynamics (music)Computer scienceChemistryStatistical physicsPhysicsMathematicsQuantum mechanicsOrganic chemistryMoleculeAcousticsCatalysisGeometryMachine Learning in Materials ScienceComputational Drug Discovery MethodsAdvanced Chemical Physics Studies
Reaction dynamics of Diels–Alder reactions from machine learned potentials | Litcius