Predictive Models for the Binary Diffusion Coefficient at Infinite Dilution in Polar and Nonpolar Fluids

Experimental diffusivities are scarcely available, though their knowledge is essential to model rate-controlled processes. In this work various machine learning models to estimate diffusivities in polar and nonpolar solvents (except water and supercritical CO(2)) were developed. Such models were tra...

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Detalles Bibliográficos
Autores principales: Aniceto, José P. S., Zêzere, Bruno, Silva, Carlos M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866074/
https://www.ncbi.nlm.nih.gov/pubmed/33498723
http://dx.doi.org/10.3390/ma14030542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866074/
https://www.ncbi.nlm.nih.gov/pubmed/33498723
http://dx.doi.org/10.3390/ma14030542

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