Predictive methods and semi-classical Equations of State for pure ionic liquids: A review

SM Hosseini, A Mulero, MM Alavianmehr - The Journal of Chemical …, 2019 - Elsevier
The present review covers the recent progresses on the development of predictive methods
for the study of properties of pure ionic liquids over the past decades. After a review on …

On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems

MN Amar, MA Ghriga, H Ouaer - Journal of the Taiwan Institute of Chemical …, 2021 - Elsevier
Abstract Ionic Liquids (ILs) are increasingly emerging as new innovating green solvents with
great importance from academic, industrial, and environmental perspectives. This surge of …

Machine learning assisted structure-based models for predicting electrical conductivity of ionic liquids

R Nakhaei-Kohani, SA Madani, SP Mousavi… - Journal of Molecular …, 2022 - Elsevier
Ionic liquids (ILs) have attracted a great deal of attention as vital compounds that are widely
used in various industries, such as the chemical and petroleum industries. Therefore …

Modeling surface tension of ionic liquids by chemical structure-intelligence based models

SP Mousavi, S Atashrouz, MN Amar… - Journal of Molecular …, 2021 - Elsevier
Surface tension is one of the most significant physicochemical characteristics in process
design, industrial applications of heterogeneous systems, and scientific applications. To …

Viscosity of ionic liquids: Application of the Eyring's theory and a committee machine intelligent system

SP Mousavi, S Atashrouz, M Nait Amar… - Molecules, 2020 - mdpi.com
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 …

Modeling of H2S solubility in ionic liquids using deep learning: A chemical structure-based approach

SP Mousavi, S Atashrouz, R Nakhaei-Kohani… - Journal of Molecular …, 2022 - Elsevier
Hydrogen sulfide (H 2 S) is a toxic, flammable, corrosive, and acidic gas that can have
harmful impacts on the environment. Ionic liquids (ILs) are relatively new solutions that have …

Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids

TL Greaves, KSS McHale, RF Burkart-Radke… - Physical Chemistry …, 2021 - pubs.rsc.org
The ability to tailor the constituent ions in ionic liquids (ILs) is highly advantageous as it
provides access to solvents with a range of physicochemical properties. However, this …

Modeling of H2S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approaches

SP Mousavi, R Nakhaei-Kohani, S Atashrouz… - Scientific Reports, 2023 - nature.com
In the context of gas processing and carbon sequestration, an adequate understanding of
the solubility of acid gases in ionic liquids (ILs) under various thermodynamic circumstances …

Modeling interfacial tension and minimum miscibility pressure in paraffin-nitrogen systems: Application to gas injection processes

A Hemmati-Sarapardeh, E Mohagheghian - Fuel, 2017 - Elsevier
Nitrogen has emerged as an attractive gas for many petroleum and chemical engineering
applications such as gas lift, gas recycling, pressure maintenance, and enhanced oil …

Surface tension of binary mixtures containing environmentally friendly ionic liquids: insights from artificial intelligence

R Setiawan, R Daneshfar, O Rezvanjou… - Environment …, 2021 - Springer
The surface tension (ST) of ionic liquids (ILs) and their accompanying mixtures allows
engineers to accurately arrange new processes on the industrial scale. Without any doubt …