Get started
Author

Amir Hossein Sheikhshoaei

Predicting ammonia solubility in ionic liquids using machine learning models based on critical properties
2025 · Amir Hossein Sheikhshoaei, Ali Khoshsima, et al. · Results in Engineering · 16
Deep learning models to predict CO2 solubility in imidazolium-based ionic liquids
2025 · Amir Hossein Sheikhshoaei, Ali Sanati, et al. · Scientific Reports · 15
PDF
Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models
2024 · Amir Hossein Sheikhshoaei, Ali Khoshsima, et al. · Chemical Thermodynamics and Thermal Analysis · 14
New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models
2025 · Amir Hossein Sheikhshoaei, Ali Sanati · Scientific Reports · 13
Interfacial Tension Modeling of Aqueous Ionic Liquids via Machine and Deep Learning
2025 · Amir Hossein Sheikhshoaei, Ali Sanati · Energy & Fuels · 12
Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties
2025 · Amir Hossein Sheikhshoaei, Gholamhossein Sodeifian · Scientific Reports · 11
PDF
Machine learning approach to predict the viscosity of perfluoropolyether oils
2025 · Amir Hossein Sheikhshoaei, Reza Zabihi · Scientific Reports · 11
PDF
Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties
2025 · Amir Hossein Sheikhshoaei, Ali Khoshsima · Scientific Reports · 11
PDF
Data-driven insights into CO₂ solubility in deep eutectic solvents
2025 · Amir Hossein Sheikhshoaei, Ali Sanati · Journal of CO2 Utilization · 6
Leveraging critical properties of amines to predict CO2 capture by amine mixtures: ML/DL modeling and solubility evaluation
2026 · Amir Hossein Sheikhshoaei, Ali Khoshsima · Journal of CO2 Utilization · 5
Predicting methane adsorption in coal and shale with white-box and black-box machine learning models
2026 · Amir Hossein Sheikhshoaei, Fahimeh Hadavimoghaddam, et al. · Scientific Reports · 4
PDF
Determination of Oxaliplatin solubility in SC-CO2: Experimental data, a comparative analysis of sPC-SAFT EoS, semi-empirical correlations and machine learning methods
2026 · Gholamhossein Sodeifian, Amir Hossein Sheikhshoaei, et al. · Journal of CO2 Utilization · 2
Integrating experimental data and machine learning models for solubility prediction of yellow 23 in supercritical carbon dioxide
2025 · Seyed Ali Sajadian, Amir Hossein Sheikhshoaei, et al. · RSC Advances · 2
PDF
Experimental measurement and machine learning modeling of BBOT solubility in supercritical carbon dioxide
2026 · Nadia Esfandiari, Amir Hossein Sheikhshoaei, et al. · Scientific Reports · 1
PDF
Machine learning prediction of CO₂ solubility in deep eutectic solvent-MDEA mixtures
2026 · Amir Hossein Sheikhshoaei, Ali Sanati · Carbon letters · 1
TabNet and GrowNet machine learning models to predict properties of benzyltoluene-dibenzyltoluene as a liquid organic hydrogen carrier
2026 · Amir Hossein Sheikhshoaei, Reza Zabihi · International Journal of Hydrogen Energy · 1
Predicting fluorinated gas solubility in deep eutectic solvents using machine learning and deep learning approaches
2026 · Amir Hossein Sheikhshoaei, Amin Kazemi-Beydokhti, et al. · Scientific Reports
PDF
Experimental enhancing drug solubility in supercritical CO₂ using modifiers: Modeling and machine learning prediction
2026 · Seyed Ali Sajadian, Mahshid Askarizadeh, et al. · Scientific Reports
PDF
Interpretable machine learning for predicting fluorinated gas solubility in ionic liquids
2026 · Amir Hossein Sheikhshoaei, Ahmadreza Salehi, et al. · Results in Engineering
Machine Learning and Deep Learning Framework for Accurate Prediction of CH4 Solubility in Brine Systems Using Physicochemical Descriptors
2026 · Amir Hossein Sheikhshoaei, Abdolhossein Hemmati-Sarapardeh, et al. · Energy & Fuels
Density prediction of CO2–hydrocarbon mixtures using an extensive databank: Comparison of interpretable machine learning models with cubic and association-based EoSs
2026 · Sara Sahebalzamani, Arefeh Naghizadeh, et al. · Fuel
Works count: 21
Citation count: 125
H-index: 8
I10-index: 8
Year
Topic
Type