Hakim Djema

Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage

Cuthbert Shang Wui Ng, Hakim Djema, Menad Nait Amar et al. · International Journal of Hydrogen Energy · 2022 · 85 citations · Full text

Engineering, Machine Learning, Energy Efficiency +16

Explainable artificial intelligence models for estimating the heat capacity of deep eutectic solvents

Saad Alatefi, Okorie Ekwe Agwu, Menad Nait Amar et al. · Fuel · 2025 · 18 citations

Robust Ensemble Learning Models for Predicting Hydrogen Sulfide Solubility in Brine

Mohamed Riad Youcefi, Wei Wei, Fahd Mohamad Alqahtani et al. · Energy & Fuels · 2024 · 14 citations

Engineering, Machine Learning, H2s Solubility +19

Predicting the solubility of hydrogen in hydrocarbon fractions: Advanced data-driven machine learning approach and equation of state

Menad Nait Amar, Fahd Mohamad Alqahtani, Hakim Djema et al. · Journal of the Taiwan Institute of Chemical Engineers · 2023 · 13 citations

Thermodynamic Modelling, Engineering, Machine Learning +13

Modeling wax disappearance temperature using robust white-box machine learning

Menad Nait Amar, Noureddine Zeraibi, Chahrazed Benamara et al. · Fuel · 2024 · 10 citations