dc.creatorAyarde-Henríquez, Leandro
dc.creatorGuerra, Cristian
dc.creatorDuque-Noreña, Mario
dc.creatorChamorro, Eduardo
dc.date.accessioned2023-10-24T19:35:33Z
dc.date.accessioned2024-05-02T15:12:40Z
dc.date.available2023-10-24T19:35:33Z
dc.date.available2024-05-02T15:12:40Z
dc.date.created2023-10-24T19:35:33Z
dc.date.issued2023-05
dc.identifierPhysical Chemistry Chemical Physics Open Access Volume 25, Issue 20, Pages 14274 - 1428415 May 2023
dc.identifier14639076
dc.identifierhttps://repositorio.unab.cl/xmlui/handle/ria/53604
dc.identifier10.1039/d3cp01008b
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9263917
dc.description.abstractThis work reveals an underlying correlation between the topology and energetic features of matter configurations/rearrangements by exploiting two topological concepts, namely, structural stability and persistency, leading thus to a model capable of predicting activation energies at 0 K. This finding provides some answers to the difficulties of applying Thom's functions for extracting energetic information of rate processes, which has been a limitation for exact, biological, and technological sciences. A linear relationship between the experimental barriers of 17 chemical reactions and both concepts was found by studying these systems’ topography along the intrinsic reaction coordinate. Such a procedure led to the model , which accurately predicts the activation energy in reacting systems involving organic and organometallic compounds under different conditions, e.g., the gas-phase, solvent media, and temperature. This function was further recalibrated to enhance its predicting capabilities, generating the equation for this procedure, characterized by a squared Pearson correlation coefficient (r2 = 0.9774) 1.1 times higher. Surprisingly, no improvement was observed.
dc.languageen
dc.publisherRoyal Society of Chemistry
dc.rightshttps://creativecommons.org/licenses/by/3.0/
dc.rightsCC BY 3.0 DEED
dc.subjectCorrelation methods
dc.subjectForecasting
dc.subjectOrganometallics
dc.subjectStability
dc.subjectTopography
dc.subjectTopology
dc.titleA simple topology-based model for predicting the activation barriers of reactive processes at 0 K
dc.typeArtículo


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