Cargando…
Viscosity of Ionic Liquids: Application of the Eyring’s Theory and a Committee Machine Intelligent System
Accurate determination of the physicochemical characteristics of ionic liquids (ILs), especially viscosity, at widespread operating conditions is of a vital role for various fields. In this study, the viscosity of pure ILs is modeled using three approaches: (I) a simple group contribution method bas...
Autores principales: | Mousavi, Seyed Pezhman, Atashrouz, Saeid, Nait Amar, Menad, Hemmati-Sarapardeh, Abdolhossein, Mohaddespour, Ahmad, Mosavi, Amir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795042/ https://www.ncbi.nlm.nih.gov/pubmed/33396329 http://dx.doi.org/10.3390/molecules26010156 |
Ejemplares similares
-
Modeling of H(2)S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approaches
por: Mousavi, Seyed-Pezhman, et al.
Publicado: (2023) -
Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches
por: Nakhaei-Kohani, Reza, et al.
Publicado: (2022) -
Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methods
por: Esmaeili, Ali, et al.
Publicado: (2023) -
Applications of artificial intelligence techniques in the petroleum industry
por: Hemmat-Sarapardeh, Abdolhossein, et al.
Publicado: (2020) -
On the evaluation of the carbon dioxide solubility in polymers using gene expression programming
por: Amiri-Ramsheh, Behnam, et al.
Publicado: (2023)