Ihmiset

Ali Ebrahimpoor Gorji

Postdoctoral Researcher

T106 Chemical and Metallurgical Eng

Tutkijatohtori

Kemian tekniikan ja metallurgian laitos

Tutkijatohtori

Chemical engineering

Full researcher profile

https://research.aalto.fi/...

Sähköposti

[email protected]

Puhelinnumero

+358505715280

Tutkimusryhmät

Chemical engineering, Tutkijatohtori

Julkaisut

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 2024 Chemical Engineering Science

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

Toward solvent selection for the extractive removal of pyridine from fuels using ionic liquids: A QSPR study

Mahdieh Amereh, Ali Ebrahimpoor Gorji, Mohammad Amin Sobati 2023 Fuel

New molecular structure based models for estimation of the CO2 solubility in different choline chloride-based deep eutectic solvents (DESs)

Farnoosh Dehkordi, Mohammad Amin Sobati, Ali Ebrahimpoor Gorji 2023 Scientific Reports

A structure-property model for the prediction of pKa values of different amines in the CO₂ capture process concern to the prediction of thermodynamic properties

Zahra Eshaghi Gorji, Ali Ebrahimpoor Gorji, Siavash Riahi 2022 Chemical Engineering Research and Design

New empirical correlations for the prediction of critical properties and acentric factor of S-containing compounds

Zahra Ghomisheh, Mohammad Amin Sobati, Ali Ebrahimpoor Gorji 2022 Journal of Sulfur Chemistry

QSPR modeling of thiophene distribution between deep eutectic solvent (DES) and hydrocarbon phases: Effect of hydrogen bond donor (HBD) structure

Mohsen Balali, Mohammad Amin Sobati, Ali Ebrahimpoor Gorji 2021 Journal of Molecular Liquids

Toward solvent screening in the extractive desulfurization using ionic liquids : QSPR modeling and experimental validations

Ali Ebrahimpoor Gorji, Mohammad Amin Sobati, Ville Alopaeus, Petri Uusi-Kyyny 2021 Fuel

Effect of the cation structure on the thiophene distribution between the ionic liquid with NTf₂ anion and the hydrocarbon rich phases: A QSPR study

Ali Ebrahimpoor Gorji, Mohammad Amin Sobati 2020 Journal of Molecular Liquids

Prediction of critical properties of sulfur-containing compounds: New QSPR models

Zahra Ghomisheh, Ali Ebrahimpoor Gorji, Mohammad Amin Sobati 2020 Journal of Molecular Graphics and Modelling

Molecular investigation of amine’s performance in the carbon capture process: least squares support vector machine approach

Bejhan Rezaei, Siavash Riahi, Ali Ebrahimpoor Gorji 2020 KOREAN JOURNAL OF CHEMICAL ENGINEERING

How anion structure can affect the thiophene distribution between imidazolium-based ionic liquid and hydrocarbon phases? A theoretical QSPR study

Ali Ebrahimpoor Gorji, Mohammad Amin Sobati 2019 Energy & Fuels

Toward molecular modeling of thiophene distribution between the ionic liquid and hydrocarbon phases: Effect of hydrocarbon structure

Ali Ebrahimpoor Gorji, Mohammad Amin Sobati 2019 Journal of Molecular Liquids

Quantitative structure-property relationship (QSPR) for prediction of CO₂ Henry’s law constant in some physical solvents with consideration of temperature effects

Ali Ebrahimpoor Gorji, Zahra Eshaghi Gorji, Siavash Riahi 2017 KOREAN JOURNAL OF CHEMICAL ENGINEERING

Descriptive and predictive models for Henry’s law constant of CO₂ in ionic liquids: A QSPR study

Diako Qaslani, Zahra Eshaghi Gorji, Ali Ebrahimpoor Gorji, Siavash Riahi 2017 Chemical Engineering Research and Design