Estimation of ternary liquid-liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks

Autor:	Francisco Rodríguez, Kenneth R. Seddon, José S. Torrecilla, Maggel Deetlefs
Rok vydání:	2008
Předmět:	Alkane chemistry.chemical_classification Heptane Chromatography Artificial neural network General Physics and Astronomy Toluene chemistry.chemical_compound chemistry Ionic liquid Physical chemistry Liquid liquid Physical and Theoretical Chemistry Selectivity Ternary operation
Zdroj:	Physical chemistry chemical physics : PCCP. 10(33)
ISSN:	1463-9076
Popis:	Neural network models have been explored for the prediction of the liquid–liquid equilibrium data and aromatic/aliphatic selectivity values. Four ternary systems composed of toluene, heptane, and the ionic liquids 1-ethyl-3-methylimidazolium ethylsulfate, or 1,3-dimethylimidazolium methylsulfate were investigated at 313.2 and 348.2 K.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd7a35f486d17bf1b26cbdaa2cbd0d11 https://pubmed.ncbi.nlm.nih.gov/18701960 Zobrazit plný text záznamu