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Danial Abooali
Danial Abooali
Verified email at chemeng.iust.ac.ir
Title
Cited by
Cited by
Year
Novel method for prediction of normal boiling point and enthalpy of vaporization at normal boiling point of pure refrigerants: A QSPR approach
D Abooali, MA Sobati
International journal of refrigeration 40, 282-293, 2014
452014
Estimation of dynamic viscosity of natural gas based on genetic programming methodology
D Abooali, E Khamehchi
Journal of Natural Gas Science and Engineering 21, 1025-1031, 2014
272014
Molecular based models for estimation of critical properties of pure refrigerants: Quantitative structure property relationship (QSPR) approach
MA Sobati, D Abooali
Thermochimica Acta 602, 53-62, 2015
262015
A new empirical model for estimation of crude oil/brine interfacial tension using genetic programming approach
D Abooali, MA Sobati, S Shahhosseini, M Assareh
Journal of Petroleum Science and Engineering 173, 187-196, 2019
242019
A new structure-based model for estimation of true critical volume of multicomponent mixtures
MA Sobati, D Abooali, B Maghbooli, H Najafi
Chemometrics and Intelligent Laboratory Systems, 2016
232016
Modeling CO2 absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods
D Abooali, R Soleimani, A Rezaei-Yazdi
SEPARATION SCIENCE AND TECHNOLOGY, 2019
192019
Toward Predictive Models for Estimation of Bubble-point Pressure and Formation Volume Factor of Crude Oil Using an Intelligent Approach
D Abooali, E Khamehchi
Brazilian Journal of Chemical Engineering 33 (4), 1083 - 1090, 2016
192016
New predictive method for estimation of natural gas hydrate formation temperature using genetic programming
D Abooali, E Khamehchi
Natural Computing Applications, 2017
182017
Characterization of physico-chemical properties of biodiesel components using smart data mining approaches
D Abooali, R Soleimani, S Gholamreza-Ravi
Fuel 266, 117075, 2020
152020
Characterizing CO2 capture with aqueous solutions of LysK and the mixture of MAPA+ DEEA using soft computing methods
R Soleimani, D Abooali, NA Shoushtari
Energy 164, 664-675, 2018
132018
Structure-based modeling of critical micelle concentration (CMC) of anionic surfactants in brine using intelligent methods
D Abooali, R Soleimani
Scientific Reports 13 (1), 13361, 2023
52023
Impacts of SiO2 and MgO nano-particles on mass transfer performance of batch liquid-liquid extraction
MS Sepehri Sadeghian, D Abooali, A Rahbar-Kelishami
Synthesis and Reactivity in Inorganic, Metal-Organic, and Nano-Metal Chemistry, 2016
22016
The effects of SiO2 and TiO2 nanoparticles on batch liquid-liquid extraction based on Taguchi design model
D Abooali, KA RAHBAR
12014
Feasibility study of thermal enhanced oil recovery methods for extraction of heavy crude oil in Kuh-e-Mond oilfield
B Molla Davoudi, D Abooali, MM Hosseini
Construction science and technology 2 (4), 27-40, 2022
2022
Modelling Interfacial Tension of Crude Oil-Brine-Anionic Surfactant Using a Genetic Programming Approach
D Abooali, S Shahhosseini, MA Sobati
PETROLEUM RESEARCH 28 (100), 16-29, 2018
2018
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