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 …
designable properties compared to conventional solvents. Further development and …
Prediction of CO2 solubility in ionic liquids using machine learning methods
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 …
ionic liquids (ILs) at different temperatures and pressures is established. Based on this …
A review on multiphase underwater jets and plumes: Droplets, hydrodynamics, and chemistry
Jets and plumes have been the focus of quantitative investigations since the mid‐1950s.
These investigations intensified following the Deepwater Horizon oil spill, in which …
These investigations intensified following the Deepwater Horizon oil spill, in which …
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 …
(ILs) is crucial from the point of view of potential applications of these fluids in chemical and …
Efficient models for predicting temperature-dependent henry's constants and adsorption selectivities for diverse collections of molecules in metal–organic frameworks
Adsorption-based separations using metal–organic frameworks (MOFs) are a promising
alternative to traditional energy-intensive separation process. Machine learning (ML) …
alternative to traditional energy-intensive separation process. Machine learning (ML) …
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 …
extraction of various solutes from ionic liquid solvents have found great interest during …
How to rationally screen refrigerant/ionic liquids for thermal cooling: A multi-criteria approach based on machine learning
Absorption heat pumps (AHPs) for thermal cooling show great potential in utilizing
renewable and waste heat towards carbon neutrality. AHPs using ionic liquids (ILs) as …
renewable and waste heat towards carbon neutrality. AHPs using ionic liquids (ILs) as …
Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen+ water soluble organic promoters using Support Vector …
A Eslamimanesh, F Gharagheizi, M Illbeigi… - Fluid Phase …, 2012 - Elsevier
In this work, the Least Squares Support Vector Machine (LSSVM) algorithm is employed to
present several numerical models for calculation/estimation of the clathrate hydrate …
present several numerical models for calculation/estimation of the clathrate hydrate …
Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding
Flooding fuel-generated CO 2 into oil reservoirs will lead to two advantages in both
enhanced oil recovery (EOR) and reduction in atmospheric emission of carbon dioxide. The …
enhanced oil recovery (EOR) and reduction in atmospheric emission of carbon dioxide. The …
Estimation of pure component parameters of PC-SAFT EoS by an artificial neural network based on a group contribution method
H Matsukawa, M Kitahara, K Otake - Fluid Phase Equilibria, 2021 - Elsevier
In this study, we introduced an artificial neural network (ANN), which can represent objects
that are difficult to formulate, rather than the integrated model of the group contribution …
that are difficult to formulate, rather than the integrated model of the group contribution …