Exploring the performance of machine learning models to predict carbon monoxide solubility in underground pure/saline water
The released carbon monoxide (CO) into the atmosphere is a threat to human life and
environmental safety. CO storage in surface and underground seawater/water may be …
environmental safety. CO storage in surface and underground seawater/water may be …
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 …
Artificial neural network modelling for solubility of carbon dioxide in various aqueous solutions from pure water to brine
Predicting the solubility of CO 2 in various aqueous solutions, such as pure water, brackish
water, saline water and brine, has become increasingly important because of the …
water, saline water and brine, has become increasingly important because of the …
Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine
A Mahmoudzadeh, B Amiri-Ramsheh, S Atashrouz… - Scientific Reports, 2024 - nature.com
The growing application of carbon dioxide (CO2) in various environmental and energy
fields, including carbon capture and storage (CCS) and several CO2-based enhanced oil …
fields, including carbon capture and storage (CCS) and several CO2-based enhanced oil …
[HTML][HTML] Surrogate modelling of VLE: integrating machine learning with thermodynamic constraints
A Carranza-Abaid, HF Svendsen… - … Engineering Science: X, 2020 - Elsevier
An easy-to-implement methodology to develop accurate, fast and thermodynamically
consistent surrogate machine learning (ML) models for multicomponent phase equilibria is …
consistent surrogate machine learning (ML) models for multicomponent phase equilibria is …
[HTML][HTML] Modelling and simulation of reactors for methanol production by CO2 reduction: A comparative study
MS Ramyashree, A Nandy, YR Bohari, M Pramodh… - Results in …, 2024 - Elsevier
The extensive utilization of fossil fuel energy has caused severe degradation to our
environment, therefore the search for new clean efficient energy is the need of the hour …
environment, therefore the search for new clean efficient energy is the need of the hour …
Modeling of swelling behaviors of acrylamide-based polymeric hydrogels by intelligent system
Hydrogels based on acrylamide (AAm) were synthesized by free radical polymerization in
an aqueous solution using N, N'-methylenebisacrylamide (MBAAm) as crosslinker. To obtain …
an aqueous solution using N, N'-methylenebisacrylamide (MBAAm) as crosslinker. To obtain …
Optimization of micro hardness of nanostructure Cu-Cr-Zr alloys prepared by the mechanical alloying using artificial neural networks and genetic algorithm
M Zeraati, GR Khayati - Journal of Ultrafine Grained and …, 2018 - jufgnsm.ut.ac.ir
Cu–Cr-Zr alloys had wide applications in engineering applications such as electrical and
welding industrial especially for their high strength, high electrical as well as acceptable …
welding industrial especially for their high strength, high electrical as well as acceptable …
Modeling and optimization for curing of polymer flooding using an artificial neural network and a genetic algorithm
B Jiang, F Zhang, Y Sun, X Zhou, J Dong… - Journal of the Taiwan …, 2014 - Elsevier
An artificial neural network model was adopted to investigate the relationships between
polymer curing process parameters (polymer concentration, agitation speed, and paddle …
polymer curing process parameters (polymer concentration, agitation speed, and paddle …
Prediction of CO2 solubility in multicomponent electrolyte solutions up to 709 bar: Analogical bridge between hydrophobic solvation and adsorption model
Prediction of CO 2 solubility in electrolyte solution is important for the design of various
industrial processes using CO 2. A large amount of experimental data is needed to predict …
industrial processes using CO 2. A large amount of experimental data is needed to predict …