Ali Ebrahimpoor Gorji
Visitor IT rights
Visitor IT rights
T106 Chemical and Metallurgical Eng
Full researcher profile
https://research.aalto.fi/...
Phone number
+358505715280
Research groups
- Chemical engineering, Visitor (Faculty)
Publications
Toxicological Evaluation of Ionic Liquids: QSAR Approach for Acetylcholinesterase Enzyme Inhibition
Ali Ebrahimpoor Gorji, Petri Uusi-Kyyny, Ville Alopaeus
2026
Chemical Research in Toxicology
Theoretical studies of ionic liquids effect on the distribution ratio, selectivity and partition coefficient of sulfur containing compounds using machine learning: A QSPR study
Niloofar Zand, Ali Ebrahimpoor Gorji, Siavash Riahi, Mohammad Mohammadi-Khanaposhtani
2026
Fuel
MLR Data-Driven for the Prediction of Infinite Dilution Activity Coefficient of Water in Ionic Liquids (ILs) Using QSPR-Based COSMO Descriptors
Ali Ebrahimpoor Gorji, Juho-Pekka Laakso, Ville Alopaeus, Petri Uusi-Kyyny
2025
Journal of Chemical Information and Modeling
Towards the prediction of CPA pure parameters for imidazolium, ammonium, and pyridinium based-ionic liquids using QSPR study: A comparative study
Ali Ebrahimpoor Gorji, Juho-Pekka Laakso, Ville Alopaeus, Petri Uusi-Kyyny
2025
Chemical Engineering Science
Towards the prediction of infinite dilution activity coefficient (IDAC) of methanol in ionic liquids (ILs) using QSPR-based COSMO descriptors: Considering temperature effect using machine learning
Ali Ebrahimpoor Gorji, Juho-Pekka Laakso, Ville Alopaeus, Petri Uusi-Kyyny
2025
Fuel
Machine learning modeling of the CO2 solubility in ionic liquids by using σ-profile descriptors
Juho-Pekka Laakso, Ali Ebrahimpoor Gorji, Ville Alopaeus, Petri Uusi-Kyyny
2025
Chemical Engineering Science
Molecular insights on the solvent screening for the benzene extraction from fuels using ionic liquids via QSPR method
Mahdieh Amereh, Ali Ebrahimpoor Gorji, Mohammad Amin Sobati
2024
Scientific Reports
Prediction of Nernst Coefficient of S-containing compounds between fuel and Ionic Liquid phases in the Extractive Desulfurization using Linear and Supported Vector Machine (SVM) methods: QSPR-Based Machine Learning
Fatemeh Faridi, Ali Ebrahimpoor Gorji, Siavash Riahi
2024
Journal of the Taiwan Institute of Chemical Engineers
Prediction of solubility of hydrogen (H2) in hydrocarbons using QSPR method: MLR data-driven as a simple Machine Learning (ML) algorithm
Ali Ebrahimpoor Gorji, Ville Alopaeus
2024
International Journal of Hydrogen Energy
Efficient structural models to predict absorption rate and absorption amount for different types of amine
Negar Sadat Yousefiani, Siavash Riahi, Ali Ebrahimpoor Gorji
2024
International Journal of Environmental Science and Technology