Prediction of Density, Surface Tension, and Viscosity of Quaternary Ammonium-Based Ionic Liquids ([N222(n)]Tf2N) by Means of Artificial Intelligence Techniques
- Author
- GOLZAR, Karim1 ; AMJAD-IRANAGH, Sepideh2 ; MODARRESS, Hamid1
[1] Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran, Islamic Republic of
[2] Department of Chemistry, Amirkabir University of Technology, Tehran, Iran, Islamic Republic of - Source
Journal of dispersion science and technology. 2014, Vol 35, Num 10-12, pp 1809-1829, 21 p ; ref : 83 ref
- Publisher
- Taylor & Francis, Philadelphia, PA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Artificial intelligence techniques density quaternary ammonium-based ionic liquid ([N222(n)]Tf2N) surface tension viscosity
- Keyword (fr)
- Ammonium Densité Liquide ionique Prédiction Technique Tension superficielle Viscosité superficielle Propriété physicochimique
- Keyword (en)
- Ammonium Density Ionic liquid Prediction Technique Surface tension Surface viscosity Physicochemical properties
- Keyword (es)
- Amonio Densidad Líquido iónico Predicción Técnica Tensión superficial Viscosidad superficial Propiedad fisicoquímica
- Classification
- Pascal
- 001 Exact sciences and technology / 001C Chemistry / 001C01 General and physical chemistry / 001C01I Surface physical chemistry
- Pascal
- 001 Exact sciences and technology / 001C Chemistry / 001C01 General and physical chemistry / 001C01J Colloidal state and disperse state
- Discipline
- General chemistry and physical chemistry
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28831658
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1080/01932691.2013.879533 
https://dx.doi.org/10.1080/01932691.2013.879533
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