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Danial Abooali
Danial Abooali
Geverifieerd e-mailadres voor chemeng.iust.ac.ir
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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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Artikelen 1–15