Determining solubility of CO2 in aqueous brine systems via hybrid smart strategies. - Tofigh Sayahi; Afshin Tatar; Alireza Rostami; Mohammad Amin Anbaz; Khalil Shahbazi (Int. J. Comput. Appl. Technol., 2021)

A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model. - Mohammad Soleimani Lashkenari; Mohammad Bagheri; Afshin Tatar; Hadi Rezazadeh; Mustafa Inç (Neural Comput. Appl., 2023)

Hydrogen solubility in different chemicals: A modelling approach and review of literature data. - Pouyan Foroughizadeh; Amin Shokrollahi; Afshin Tatar; Abbas Zeinijahromi (Eng. Appl. Artif. Intell., 2024)

Machine learning modelling of dew point pressure in gas condensate reservoirs: application of decision tree-based models. - Zohre Esmaeili-Jaghdan; Afshin Tatar; Amin Shokrollahi; Jan Bon; Abbas Zeinijahromi (Neural Comput. Appl., 2024)