A review on machine learning algorithms for the ionic liquid chemical space

S Koutsoukos, F Philippi, F Malaret, T Welton - Chemical science, 2021 - pubs.rsc.org
There are thousands of papers published every year investigating the properties and
possible applications of ionic liquids. Industrial use of these exceptional fluids requires …

Computer-aided molecular design of ionic liquids as advanced process media: a review from fundamentals to applications

Z Song, J Chen, J Cheng, G Chen, Z Qi - Chemical Reviews, 2023 - ACS Publications
The unique physicochemical properties, flexible structural tunability, and giant chemical
space of ionic liquids (ILs) provide them a great opportunity to match different target …

Low‐transition‐temperature mixtures (LTTMs): A new generation of designer solvents

M Francisco, A van den Bruinhorst… - Angewandte Chemie …, 2013 - Wiley Online Library
A new generation of designer solvents emerged in the last decade as promising green
media for multiple applications, including separation processes: the low‐transition …

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 …

Thermophysical properties of pure ionic liquids: review of present situation

S Aparicio, M Atilhan, F Karadas - Industrial & Engineering …, 2010 - ACS Publications
The large collection of thermophysical properties data for liquids available in the open
literature is analyzed, describing its importance for industrial purposes. Although there has …

Densities of ammonium and phosphonium based deep eutectic solvents: Prediction using artificial intelligence and group contribution techniques

K Shahbaz, S Baroutian, FS Mjalli, MA Hashim… - Thermochimica …, 2012 - Elsevier
As applications of deep eutectic solvents are growing fast as green alternatives, prediction of
physical properties data for such systems becomes a necessity for engineering application …

Predicting CO2 Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks

Y Jian, Y Wang, A Barati Farimani - ACS Sustainable Chemistry & …, 2022 - ACS Publications
Ionic liquids (ILs) provide a promising solution for CO2 capture and storage to mitigate
global warming. However, identifying and designing the high-capacity IL from the giant …

Prediction of deep eutectic solvents densities at different temperatures

K Shahbaz, FS Mjalli, MA Hashim, IM AlNashef - Thermochimica acta, 2011 - Elsevier
Predicting densities of nonconventional solvents like deep eutectic solvents (DESs) as a
function of temperature is of considerable importance in the development and design of new …

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 …

Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids

M Hosseinzadeh, A Hemmati-Sarapardeh - Journal of Molecular Liquids, 2014 - Elsevier
Ionic liquids (ILs) are widely under research and being more and more used in many
industrial fields due to their unique properties. The knowledge of physicochemical properties …