Seyed Pezhman Mousavi

Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network

Aydin Larestani, Seyed Pezhman Mousavi, Fahimeh Hadavimoghaddam et al. · Journal of Petroleum Science and Engineering · 2021 · 62 citations

Engineering, Machine Learning, Data Science +9

Viscosity of Ionic Liquids: Application of the Eyring’s Theory and a Committee Machine Intelligent System

Seyed Pezhman Mousavi, Saeid Atashrouz, Menad Nait Amar et al. · Molecules · 2020 · 47 citations · Full text

Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree

Aydin Larestani, Seyed Pezhman Mousavi, Fahimeh Hadavimoghaddam et al. · Alexandria Engineering Journal · 2022 · 36 citations · Full text

Artificial Intelligence, Chemical Engineering, Chemical Enhanced Oil Recovery +11

Modeling of H2S solubility in ionic liquids using deep learning: A chemical structure-based approach

Seyed Pezhman Mousavi, Saeid Atashrouz, Reza Nakhaei-Kohani et al. · Journal of Molecular Liquids · 2021 · 33 citations

Solid-state Ionic, Engineering, Ionic Liquids +11

Modeling thermal conductivity of ionic liquids: A comparison between chemical structure and thermodynamic properties-based models

Seyed Pezhman Mousavi, Saeid Atashrouz, Farzaneh Rezaei et al. · Journal of Molecular Liquids · 2020 · 21 citations

Materials Science, Solid-state Ionic, Engineering +11