Abir Boublia

Predicting the Surface Tension of Deep Eutectic Solvents Using Artificial Neural Networks

Tarek Lemaoui, Abir Boublia, Ahmad S. Darwish et al. · ACS Omega · 2022 · 95 citations · Full text

Experimental and detailed DFT/MD simulation of α-aminophosphonates as promising corrosion inhibitor for XC48 carbon steel in HCl environment

Ouahiba Moumeni, Mouna Mehri, Rachida Kerkour et al. · Journal of the Taiwan Institute of Chemical Engineers · 2023 · 90 citations

Materials Science, Inorganic Chemistry, Chemical Engineering +9

Corrosion inhibition of Schiff base and their metal complexes with [Mn (II), Co (II) and Zn (II)]: Experimental and quantum chemical studies

Chérifa Boulechfar, Hana Ferkous, Amel Delimi et al. · Journal of Molecular Liquids · 2023 · 83 citations · Full text

Molecular-based artificial neural network for predicting the electrical conductivity of deep eutectic solvents

Abir Boublia, Tarek Lemaoui, Farah Abu Hatab et al. · Journal of Molecular Liquids · 2022 · 82 citations

Engineering, Molecular Property, Deep Eutectic Solvents +10

Predicting the CO₂ Capture Capability of Deep Eutectic Solvents and Screening over 1000 of their Combinations Using Machine Learning

Tarek Lemaoui, Abir Boublia, Soumaya Lemaoui et al. · ACS Sustainable Chemistry & Engineering · 2023 · 76 citations

Solvent Extraction, Engineering, Machine Learning +17