April 15, 2024 In Unkategorisiert
The automated discovery of kinetic rate models – methodological frameworks
Digital Discovery, 2024, Advance Article
DOI: 10.1039/D3DD00212H, Paper
DOI: 10.1039/D3DD00212H, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, King Kuok (Mimi) Hii, Klaus Hellgardt, Dongda Zhang, Ehecatl Antonio del Rio Chanona
Two automated knowledge discovery methodologies (ADoK-S & ADoK-W) are created whereby symbolic regression, parameter estimation, information criteria and model-based design of experiments synergize for the optimized discovery of kinetic rate models.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
Two automated knowledge discovery methodologies (ADoK-S & ADoK-W) are created whereby symbolic regression, parameter estimation, information criteria and model-based design of experiments synergize for the optimized discovery of kinetic rate models.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
No Comments