Predicting physical properties (viscosity, density, and refractive index) of ternary systems containing 1-octyl-3-methyl-imidazolium bis(trifluoromethylsulfonyl)imide, esters and alcohols at 298.15 K and atmospheric pressure, using rigorous classification techniques-Reference-Cited by-同舟云学术

Predicting physical properties (viscosity, density, and refractive index) of ternary systems containing 1-octyl-3-methyl-imidazolium bis(trifluoromethylsulfonyl)imide, esters and alcohols at 298.15 K and atmospheric pressure, using rigorous classification techniques

Published:2017-01 Issue: Volume:225 Page:778-787
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Mesbah Mohammad^ORCID,Soroush Ebrahim,Rostampour Kakroudi Mohammad

Publisher

Elsevier BV

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Spectroscopy,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference61 articles.

1. Ionic liquids—progress on the fundamental issues;MacFarlane;Aust. J. Chem.,2007

2. Ionic liquids: “designer” solvents for green chemistry;Plechkova,2007

3. Applications of ionic liquids in the chemical industry;Plechkova;Chem. Soc. Rev.,2008

4. Separation of ethyl acetate-ethanol azeotropic mixture using hydrophilic ionic liquids;Zhang;Ind. Eng. Chem. Res.,2008

5. Are ionic liquids green solvents?;Nelson;ChemInform,2002

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methods;Scientific Reports;2023-07-24

2. Neural Network Model for Permeability Prediction from Reservoir Well Logs;Processes;2022-12-04

3. Two-phase flow pressure drop modelling in horizontal pipes with different diameters;Nuclear Engineering and Design;2022-08

4. Hybrids of machine learning techniques and wavelet regression for estimation of daily solar radiation;Stochastic Environmental Research and Risk Assessment;2022-06-25

5. Machine learning investigation of viscosity and ionic conductivity of protic ionic liquids in water mixtures;The Journal of Chemical Physics;2022-04-21