• Modeling Viscosity of CO2 at High Temperature and Pressure Conditions 

      Amar, Menad Nait; Ghriga, Mohammed Abdelfatah; Ouaer, Hocine; Ben Seghier, Mohamed el Amine; Pham, Binh Thai; Andersen, Pål Østebø (Peer reviewed; Journal article, 2020-03)
      The present work aims at applying Machine Learning approaches to predict CO2 viscosity at different thermodynamical conditions. Various data-driven techniques including multilayer perceptron (MLP), gene expression programming ...
    • Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids 

      Ouaer, Hocine; Hosseini, Amir Hossein; Amar, Menad Nait; Ben Seghier, Mohamed El Amine; Ghriga, Mohammed Abdelfatah; Nabipour, Narjes; Andersen, Pål Østebø; Mosavi, Amir; Shamshirband, Shahaboddin (Journal article; Peer reviewed, 2020-01)
      Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of view. In this regard, the current research aims at evaluating ...