Introduction to ionic liquids, applications and micellization behaviour in presence of different additives
P Sharma, S Sharma, H Kumar - Journal of Molecular Liquids, 2024 - Elsevier
Over the past decades, ionic liquids gained much more attention of the researcher across
the globe owing to their unique characteristics and a vast spectrum of application …
the globe owing to their unique characteristics and a vast spectrum of application …
[HTML][HTML] Ionic liquid-based polymer inclusion membranes for metal ions extraction and recovery: Fundamentals, considerations, and prospects
Heavy metal removal from wastewater and valuable metal recovery from electronic waste
are of critical environmental and economic significance. Separation based on the use of …
are of critical environmental and economic significance. Separation based on the use of …
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and …
The utilization of carbon capture utilization and storage (CCUS) in unconventional
formations is a promising way for improving hydrocarbon production and combating climate …
formations is a promising way for improving hydrocarbon production and combating climate …
Machine learning approaches for predicting arsenic adsorption from water using porous metal–organic frameworks
Arsenic in drinking water is a serious threat for human health due to its toxic nature and
therefore, its eliminating is highly necessary. In this study, the ability of different novel and …
therefore, its eliminating is highly necessary. In this study, the ability of different novel and …
Enhancing carbon sequestration: innovative models for wettability dynamics in CO2-brine-mineral systems
This study investigates the application of machine learning techniques—specifically
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
Application of robust machine learning methods to modeling hydrogen solubility in hydrocarbon fuels
MR Mohammadi, F Hadavimoghaddam… - International Journal of …, 2022 - Elsevier
Having accurate information about the hydrogen solubility in hydrocarbon fuels and
feedstocks is very important in petroleum refineries and coal processing plants. In the …
feedstocks is very important in petroleum refineries and coal processing plants. In the …
Predictive modeling on the surface tension and viscosity of ionic liquid-organic solvent mixtures via machine learning
Background a comprehensive collection of reliable open-source data was compiled,
encompassing 3454 data points for surface tension and 28,548 data points for viscosity of IL …
encompassing 3454 data points for surface tension and 28,548 data points for viscosity of IL …
Viscosity prediction of ionic liquids using NLR and SVM approaches
AD Boualem, K Argoub, AM Benkouider… - Journal of Molecular …, 2022 - Elsevier
Using the molecular functional group, two alternative models for predicting the dynamic
viscosity of ionic liquids (ILs) as function of temperature are presented. The group …
viscosity of ionic liquids (ILs) as function of temperature are presented. The group …
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 …
used in various industries, such as the chemical and petroleum industries. Therefore …
The electrical conductivity of ionic liquids: numerical and analytical machine learning approaches
In this paper, we incorporate experimental measurements from high-quality databases to
construct a machine learning model that is capable of reproducing and predicting the …
construct a machine learning model that is capable of reproducing and predicting the …