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Machine Learning Quantitative Structure–Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of Hydrocarbons

Ionic liquids (ILs) are known for their unique characteristics as solvents and electrolytes. Therefore, new ILs are being developed and adapted as innovative chemical environments for different applications in which their properties need to be understood on a molecular level. Computational data-driv...

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Detalles Bibliográficos
Autores principales: Toots, Karl Marti, Sild, Sulev, Leis, Jaan, Acree, William E., Maran, Uko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323540/
https://www.ncbi.nlm.nih.gov/pubmed/35886881
http://dx.doi.org/10.3390/ijms23147534