dc.creator | Ayarde-Henríquez, Leandro | |
dc.creator | Guerra, Cristian | |
dc.creator | Duque-Noreña, Mario | |
dc.creator | Chamorro, Eduardo | |
dc.date.accessioned | 2023-10-24T19:35:33Z | |
dc.date.accessioned | 2024-05-02T15:12:40Z | |
dc.date.available | 2023-10-24T19:35:33Z | |
dc.date.available | 2024-05-02T15:12:40Z | |
dc.date.created | 2023-10-24T19:35:33Z | |
dc.date.issued | 2023-05 | |
dc.identifier | Physical Chemistry Chemical Physics Open Access Volume 25, Issue 20, Pages 14274 - 1428415 May 2023 | |
dc.identifier | 14639076 | |
dc.identifier | https://repositorio.unab.cl/xmlui/handle/ria/53604 | |
dc.identifier | 10.1039/d3cp01008b | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9263917 | |
dc.description.abstract | This 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.language | en | |
dc.publisher | Royal Society of Chemistry | |
dc.rights | https://creativecommons.org/licenses/by/3.0/ | |
dc.rights | CC BY 3.0 DEED | |
dc.subject | Correlation methods | |
dc.subject | Forecasting | |
dc.subject | Organometallics | |
dc.subject | Stability | |
dc.subject | Topography | |
dc.subject | Topology | |
dc.title | A simple topology-based model for predicting the activation barriers of reactive processes at 0 K | |
dc.type | Artículo | |