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 …
Advances in drop and bubble profile analysis tensiometry
Profile analysis tensiometry (PAT) with drops and bubbles is a successful methodology to
characterize liquid-fluid interfaces. Questions about the most suitable size of drops and …
characterize liquid-fluid interfaces. Questions about the most suitable size of drops and …
Ionic liquid binary mixtures: Machine learning‐assisted modeling, solvent tailoring, process design, and optimization
This work conducts a comprehensive modeling study on the viscosity, density, heat capacity,
and surface tension of ionic liquid (IL)‐IL binary mixtures by combining the group …
and surface tension of ionic liquid (IL)‐IL binary mixtures by combining the group …
[HTML][HTML] Artificial neural network modeling on the polymer-electrolyte aqueous two-phase systems involving biomolecules
Polymer-electrolyte aqueous two-phase systems (ATPS) have demonstrated their superior
performance in the separation and purification of high-value biomolecules. However, these …
performance in the separation and purification of high-value biomolecules. However, these …
Machine learning-assisted modeling study on the density and heat capacity of ionic liquid-organic solvent binary systems
Abstract Properties of ionic liquids (ILs) play a crucial role in solvent design, process design,
and process simulation for their various industrial applications. However, ILs come in a wide …
and process simulation for their various industrial applications. However, ILs come in a wide …
Wetting and Interfacial Behavior of Imidazolium-Based Ionic Liquids and Water: A Comprehensive Review
Ionic liquids (ILs) have garnered considerable attention for their diverse applications,
notably in controlling wettability on specific solid substrates, which holds ramifications for …
notably in controlling wettability on specific solid substrates, which holds ramifications for …
Group contribution-based property modeling for chemical product design: A perspective in the AI era
We provide a perspective of the challenges and opportunities for the group contribution
approach for property prediction modeling with respect to their use in the design of chemical …
approach for property prediction modeling with respect to their use in the design of chemical …
Ionic liquid-ethanol mixed solvent design exemplified for the decarbonization of shale gas and biogas
Shale gas and biogas, recognized as “clean” energy sources, hold the potential to replace
fossil fuels, necessitating efficient decarbonization processes. This study proposes a mixed …
fossil fuels, necessitating efficient decarbonization processes. This study proposes a mixed …
Surface tension prediction of pure organic components: An artificial neural network approach
LS Queiroz, VF da Silva Bueno, HB dos Santos… - Fuel, 2025 - Elsevier
Surface tension is an important thermodynamic property of fluids that impact several
processes in the engineering. Accurate estimations of this parameter are required to …
processes in the engineering. Accurate estimations of this parameter are required to …
Modeling Study on the Density and Viscosity of Ionic Liquid–Organic Solvent–Water Ternary Mixtures
The accurate prediction of physical properties is critical for the successful application of both
conventional and novel chemicals across various industries. This work focuses on predictive …
conventional and novel chemicals across various industries. This work focuses on predictive …