Get started
Author

Fahimeh Hadavimoghaddam

Observed names: F. Hadavimoghaddam, Fahimeh Hadavimoghaddam
ORCID: 0000-0002-6858-5610
Observed ORCID: 0000-0002-6858-5610
OpenAlex ID: A5071677296
Modeling of CO2 adsorption capacity by porous metal organic frameworks using advanced decision tree-based models
2021 · Jafar Abdi, Fahimeh Hadavimoghaddam, et al. · Scientific Reports · 114
PDF
Estimation of tetracycline antibiotic photodegradation from wastewater by heterogeneous metal-organic frameworks photocatalysts
2021 · Jafar Abdi, Masoud Hadipoor, et al. · Chemosphere · 97
Probing Solubility and pH of CO2 in aqueous solutions: Implications for CO2 injection into oceans
2023 · Erfan Mohammadian, Fahimeh Hadavimoghaddam, et al. · Journal of CO2 Utilization · 75
Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network
2021 · Aydin Larestani, Seyed Pezhman Mousavi, et al. · Journal of Petroleum Science and Engineering · 69
Reassessment of CO2 sequestration in tight reservoirs and associated formations
2021 · Ogochukwu Ozotta, Mehdi Ostadhassan, et al. · Journal of Petroleum Science and Engineering · 65
Prediction of Water Saturation from Well Log Data by Machine Learning Algorithms: Boosting and Super Learner
2021 · Fahimeh Hadavimoghaddam, Mehdi Ostadhassan, et al. · Journal of Marine Science and Engineering · 58
PDF
Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and enhanced oil recovery
2023 · Qichao Lv, Rong Zheng, et al. · Separation and Purification Technology · 56
AFM vs. Nanoindentation: Nanomechanical properties of organic-rich Shale
2021 · Lingyun Kong, Fahimeh Hadavimoghaddam, et al. · Marine and Petroleum Geology · 52
Application of robust machine learning methods to modeling hydrogen solubility in hydrocarbon fuels
2021 · Mohammad-Reza Mohammadi, Fahimeh Hadavimoghaddam, et al. · International Journal of Hydrogen Energy · 51
Prediction of Dead Oil Viscosity: Machine Learning vs. Classical Correlations
2021 · Fahimeh Hadavimoghaddam, Mehdi Ostadhassan, et al. · Energies · 51
PDF
Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree
2022 · Aydin Larestani, Seyed Pezhman Mousavi, et al. · Alexandria Engineering Journal · 44
PDF
Comprehensive Outlook into Critical Roles of Pressure, Volume, and Temperature (PVT) and Phase Behavior on the Exploration and Development of Shale Oil
2022 · Bo Liu, Shuo Gao, et al. · Energy & Fuels · 39
Modeling of H2S solubility in ionic liquids using deep learning: A chemical structure-based approach
2021 · Seyed Pezhman Mousavi, Saeid Atashrouz, et al. · Journal of Molecular Liquids · 38
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state
2024 · Qichao Lv, Tongke Zhou, et al. · International Journal of Hydrogen Energy · 37
RNN-based CO2 minimum miscibility pressure (MMP) estimation for EOR and CCUS applications
2023 · Erfan Mohammadian, Mohamad Mohamadi-Baghmolaei, et al. · Fuel · 37
Modeling surface tension of ionic liquids by chemical structure-intelligence based models
2021 · Seyed-Pezhman Mousavi, Saeid Atashrouz, et al. · Journal of Molecular Liquids · 35
Employing ensemble learning techniques for modeling nanofluids' specific heat capacity
2023 · Omid Deymi, Fahimeh Hadavimoghaddam, et al. · International Communications in Heat and Mass Transfer · 34
Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state
2022 · Mohammad-Reza Mohammadi, Fahimeh Hadavimoghaddam, et al. · Scientific Reports · 33
PDF
(CoFeMnCuNiCr)3O4 High-Entropy Oxide Nanoparticles Immobilized on Reduced Graphene Oxide as Heterogeneous Catalysts for Solvent-Free Aerobic Oxidation of Benzyl Alcohol
2024 · Seyedsaeed Mehrabi-Kalajahi, Ahmad Ostovari Moghaddam, et al. · ACS Applied Nano Materials · 32
Entropy-stabilized metal oxide nanoparticles supported on reduced graphene oxide as a highly active heterogeneous catalyst for selective and solvent-free oxidation of toluene: a combined experimental and numerical investigation
2022 · Seyedsaeed Mehrabi-Kalajahi, Ahmad Ostovari Moghaddam, et al. · Journal of Materials Chemistry A · 32
Modeling hydrogen solubility in alcohols using machine learning models and equations of state
2021 · Mohammad-Reza Mohammadi, Fahimeh Hadavimoghaddam, et al. · Journal of Molecular Liquids · 31
Modeling of H2S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approaches
2023 · Seyed-Pezhman Mousavi, Reza Nakhaei-Kohani, et al. · Scientific Reports · 29
PDF
Data-driven modeling of H2 solubility in hydrocarbons using white-box approaches
2022 · Fahimeh Hadavimoghaddam, Mohammad-Reza Mohammadi, et al. · International Journal of Hydrogen Energy · 27
Modeling thermal conductivity of nanofluids using advanced correlative approaches: Group method of data handling and gene expression programming
2022 · Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al. · International Communications in Heat and Mass Transfer · 26
Toward empirical correlations for estimating the specific heat capacity of nanofluids utilizing GRG, GP, GEP, and GMDH
2023 · Omid Deymi, Fahimeh Hadavimoghaddam, et al. · Scientific Reports · 25
PDF
Works count: 80
Citation count: 1,702
H-index: 25
I10-index: 52
Year
Topic
Type