Intelligent modeling of hydrogen sulfide solubility in various types of single and multicomponent solvents
This study aims to study the solubility of acid gas, ie, hydrogen sulfide (H2S) in different
solvents. Three intelligent approaches, including Multilayer Perceptron (MLP), Gaussian …
solvents. Three intelligent approaches, including Multilayer Perceptron (MLP), Gaussian …
Modelling and optimization of fenton process for decolorization of azo dye (DR16) at microreactor using artificial neural network and genetic algorithm
The Fenton process is widely employed for decolorizing industrial wastewater. Therefore, it
is imperative to construct a model for optimizing the operational parameters and estimating …
is imperative to construct a model for optimizing the operational parameters and estimating …
Prediction of CO2 and N2 solubility in ionic liquids using a combination of ionic fragments contribution and machine learning methods
Y Tian, X Wang, Y Liu, W Hu - Journal of Molecular Liquids, 2023 - Elsevier
Ionic liquids (ILs) with many unique features can act as green solvents to dissolve some
gases. In this study, two databases are collected to predict the CO 2 and N 2 solubility in …
gases. In this study, two databases are collected to predict the CO 2 and N 2 solubility in …
Cefixime removal via WO3/Co-ZIF nanocomposite using machine learning methods
In this research, an upgraded and environmentally friendly process involving WO3/Co-ZIF
nanocomposite was used for the removal of Cefixime from the aqueous solutions. Intelligent …
nanocomposite was used for the removal of Cefixime from the aqueous solutions. Intelligent …
Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning
KM Sarkarabad, M Shayanmehr, A Ghaemi - Scientific Reports, 2025 - nature.com
This research investigates the adsorption desulfurization of liquid fuels using artificial neural
networks (ANN) and response surface methodology (RSM) approaches. The effectiveness …
networks (ANN) and response surface methodology (RSM) approaches. The effectiveness …
Influence of thermodynamically consistent data on artificial neural network modeling: Application to NH3 solubility data in room temperature ionic liquids
A general thermodynamic consistency of temperature, pressure, and solubility (TPx) data for
binary mixtures including, ammonia+ Room Temperature Ionic Liquids (ILs), has been …
binary mixtures including, ammonia+ Room Temperature Ionic Liquids (ILs), has been …
Switch on amine substrate reactivity towards hexaazaisowurtzitane cage: Insights from a tailored machine learning model
K Dou, W Zhao, C Wang, Y Fan, C He, L Zhang… - Chemical Engineering …, 2024 - Elsevier
The efficient synthesis of novel hexaazaisowurtzitane cage compounds has remained a
formidable challenge for years due to the complicated reaction mechanism and the …
formidable challenge for years due to the complicated reaction mechanism and the …
Computer-aided design of new physical solvents for hydrogen sulfide absorption
Treatment of hydrogen sulfide (H2S) is important in many industrial processes including oil
refineries, natural and biogas processing, and coal gasification. The most mature technology …
refineries, natural and biogas processing, and coal gasification. The most mature technology …
Applied artificial neural network for hydrogen sulfide solubility in natural gas purification
P Nimmanterdwong, R Changpun, P Janthboon… - ACS …, 2021 - ACS Publications
Solubility of hydrogen sulfide (H2S) in 46 single and blended physical absorbents, amines,
ionic liquids, and hybrid absorbents of amines+ ionic liquids and amines+ physical …
ionic liquids, and hybrid absorbents of amines+ ionic liquids and amines+ physical …
Carbon dioxide solubility in aqueous N-Methylpyrrolidone solution
The solubility of carbon dioxide (CO 2) in aqueous N-Methylpyrrolidone (NMP) solution has
been measured by isochoric saturation apparatus. Experimental data reported under …
been measured by isochoric saturation apparatus. Experimental data reported under …