Viscosity of ionic liquids: Theories and models

N Gao, Y Yang, Z Wang, X Guo, S Jiang, J Li… - Chemical …, 2023 - ACS Publications
Ionic liquids (ILs) offer a wide range of promising applications due to their unique and
designable properties compared to conventional solvents. Further development and …

[PDF][PDF] Contact angles and wettability of cellulosic surfaces: a review of proposed mechanisms and test strategies.

MA Hubbe, DJ Gardner, W Shen - BioResources, 2015 - bioresources.cnr.ncsu.edu
Contact angle methods are widely used to evaluate the wettability of cellulose-based
surfaces and to judge their suitability for different applications. Wettability affects ink …

Prediction of CO2 solubility in ionic liquids using machine learning methods

Z Song, H Shi, X Zhang, T Zhou - Chemical Engineering Science, 2020 - Elsevier
A comprehensive database containing 10,116 CO 2 solubility data measured in various
ionic liquids (ILs) at different temperatures and pressures is established. Based on this …

Viscosity of ionic liquids: an extensive database and a new group contribution model based on a feed-forward artificial neural network

K Paduszynski, U Domanska - Journal of chemical information …, 2014 - ACS Publications
A knowledge of various thermophysical (in particular transport) properties of ionic liquids
(ILs) is crucial from the point of view of potential applications of these fluids in chemical and …

Group contribution-based property estimation methods: advances and perspectives

R Gani - Current Opinion in Chemical Engineering, 2019 - Elsevier
Highlights•A brief overview on the state of the art in group-contribution based property
estimation methods, which are simple methods, easy to use, have some predictive …

Chemometrics tools in QSAR/QSPR studies: A historical perspective

S Yousefinejad, B Hemmateenejad - Chemometrics and Intelligent …, 2015 - Elsevier
One of the most extended subfields of chemometrics, at least by considering the number of
publications and interested researchers, is QSAR/QSPR. During the time, various improved …

Application of Artificial Intelligence-based predictive methods in Ionic liquid studies: A review

F Yusuf, T Olayiwola, C Afagwu - Fluid Phase Equilibria, 2021 - Elsevier
Comprehensive experimental investigation and accurate predictive models are required to
understand the dynamics in Ionic liquid (IL) properties. Examples of these predictive models …

Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types

R Li, JM Herreros, A Tsolakis, W Yang - Fuel, 2021 - Elsevier
A machine learning-quantitative structure property relationship (ML-QSPR) method is
proposed to predict 15 fuel physicochemical properties of 23 fuel types. QSPR-UOB 3.0 …

Recommended correlations for the surface tension of common fluids

A Mulero, I Cachadiña, MI Parra - Journal of Physical and Chemical …, 2012 - pubs.aip.org
Available values of the surface tension of 81 common fluids were fitted by using the same
model presently used in the REFPROP program V9. 0 by NIST. A set of data was built for …

Artificial neural network modeling of solubility of supercritical carbon dioxide in 24 commonly used ionic liquids

A Eslamimanesh, F Gharagheizi… - Chemical engineering …, 2011 - Elsevier
Application of supercritical CO 2 for separation of ionic liquids from their organic solvents or
extraction of various solutes from ionic liquid solvents have found great interest during …