Mohammad-Reza Mohammadi

发表

On the evaluation of asphaltene adsorption onto dolomite surface: The roles of flow condition, composition of asphaltene, and dolomite size

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, 2022, Alexandria Engineering Journal.

Experimental Measurement and Equilibrium Modeling of Adsorption of Asphaltenes from Various Origins onto the Magnetite Surface under Static and Dynamic Conditions

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, 2021, ACS omega.

Evaluation of asphaltene adsorption on minerals of dolomite and sandstone formations in two and three-phase systems

M. Ranjbar, Abdolhossein Hemmati-Sarapardeh, Saeid Norouzi-Apourvari, 2021 .

Toward mechanistic understanding of asphaltene adsorption onto quartz surface: The roles of size, concentration, and hydrophobicity of quartz, asphaltene composition, flow condition, and aqueous phase

M. Ranjbar, M. Schaffie, Abdolhossein Hemmati-Sarapardeh, 2021 .

Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2022, Scientific Reports.

Modeling hydrogen solubility in alcohols using group method of data handling and genetic programming

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, S. Atashrouz, 2022, International Journal of Hydrogen Energy.

Modeling of nitrogen solubility in normal alkanes using machine learning methods compared with cubic and PC-SAFT equations of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2021, Scientific Reports.

On the evaluation of crude oil oxidation during thermogravimetry by generalised regression neural network and gene expression programming: application to thermal enhanced oil recovery

Abdolhossein Hemmati-Sarapardeh, Mahin Schaffie, Maen M. Husein, 2021, Combustion Theory and Modelling.

Experimental measurement and modeling of asphaltene adsorption onto iron oxide and lime nanoparticles in the presence and absence of water

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, Saeid Norouzi-Apourvari, 2023, Scientific Reports.

Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state

A. Mosavi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, 2021, Scientific Reports.

Modeling surface tension of ionic liquids by chemical structure-intelligence based models

Abdolhossein Hemmati-Sarapardeh, Menad Nait Amar, Fahimeh Hadavimoghaddam, 2021, Journal of Molecular Liquids.

Modeling of nitrogen solubility in unsaturated, cyclic, and aromatic hydrocarbons: Deep learning methods and SAFT equation of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2021, Journal of the Taiwan Institute of Chemical Engineers.

Modeling hydrogen solubility in alcohols using machine learning models and equations of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, S. Atashrouz, 2021, Journal of Molecular Liquids.

Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery

M. Schaffie, M. Ranjbar, M. Husein, 2021 .

Application of robust machine learning methods to modeling hydrogen solubility in hydrocarbon fuels

Ahmad Mohaddespour, S. Atashrouz, A. Abedi, 2021, International Journal of Hydrogen Energy.

Data-driven modeling of H2 solubility in hydrocarbons using white-box approaches

Ahmad Mohaddespour, S. Atashrouz, Mohammad-Reza Mohammadi, 2022, International Journal of Hydrogen Energy.

Evolution of porosity in kerogen type I during hydrous and anhydrous pyrolysis: Experimental study, mechanistic understanding, and model development

M. Ostadhassan, Bo Liu, Zhongliang Ma, 2023, Fuel.

Modeling solubility of CO2–N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state

Mohammad-Reza Mohammadi, Reza Nakhaei-Kohani, Fahimeh Hadavimoghaddam, 2022, Scientific Reports.

Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms

Mohammad-Reza Mohammadi, A. Hemmati-Sarapardeh, Behnam Amiri-Ramsheh, 2023, Scientific reports.

Pore structure evolution of Qingshankou shale (kerogen type I) during artificial maturation via hydrous and anhydrous pyrolysis: Experimental study and intelligent modeling

M. Ostadhassan, Mohammad-Reza Mohammadi, Bo Liu, 2023, Energy.

Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis

M. Ostadhassan, Bo Liu, Yan Liu, 2023, Energy.

Pore structure characterization of solvent extracted shale containing kerogen type III during artificial maturation: Experiments and tree-based machine learning modeling

M. Ostadhassan, Bo Liu, Mohammad-Reza Mohammadi, 2023, Energy.

On the Evaluation of Coal Strength Alteration Induced by CO2 Injection Using Advanced Black-Box and White-Box Machine Learning Algorithms

Mohammad-Reza Mohammadi, Qichao Lv, Tongke Zhou, 2024, SPE Journal.

Modelling CO2 diffusion coefficient in heavy crude oils and bitumen using extreme gradient boosting and Gaussian process regression

Mohammad-Reza Mohammadi, Qichao Lv, Rong Zheng, 2023, Energy.

Integrating experimental study and intelligent modeling of pore evolution in the Bakken during simulated thermal progression for CO2 storage goals

H. Motra, Mohammad-Reza Mohammadi, Bo Liu, 2024, Applied Energy.

Toward predicting thermal conductivity of hybrid nanofluids: Application of a committee of robust neural networks, theoretical, and empirical models

M. Schaffie, M. Ghaedi, Mohammad-Reza Mohammadi, 2024, Powder Technology.

An experimental study of the effects of bacteria on asphaltene adsorption and wettability alteration of dolomite and quartz

M. Schaffie, R. Zabihi, Mohammad-Reza Mohammadi, 2023, Scientific reports.

Toward predicting SO2 solubility in ionic liquids utilizing soft computing approaches and equations of state

Ahmad Mohaddespour, A. Abedi, S. Atashrouz, 2022, Journal of the Taiwan Institute of Chemical Engineers.

Artificial intelligence modeling and experimental studies of oily pollutants uptake from water using ZIF-8/carbon fiber nanostructure.

M. Schaffie, M. Husein, Mozhgan Shahmirzaee, 2024, Journal of environmental management.