An automated computational approach to kinetic model discrimination and parameter estimation

We herein report experimental applications of a novel, automated computational approach to chemical reaction network (CRN) identification. This report shows the first chemical applications of an autonomous tool to identify the kinetic model and parameters of a process, when considering both catalyti...

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Detalles Bibliográficos
Autores principales: Taylor, Connor J., Seki, Hikaru, Dannheim, Friederike M., Willis, Mark J., Clemens, Graeme, Taylor, Brian A., Chamberlain, Thomas W., Bourne, Richard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315272/
https://www.ncbi.nlm.nih.gov/pubmed/34354841
http://dx.doi.org/10.1039/d1re00098e

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315272/
https://www.ncbi.nlm.nih.gov/pubmed/34354841
http://dx.doi.org/10.1039/d1re00098e

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