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Hooman Chamani
Hooman Chamani
Verified email at utoronto.ca - Homepage
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Year
Pore wetting in membrane distillation: A comprehensive review
H Chamani, J Woloszyn, T Matsuura, D Rana, CQ Lan
Progress in Materials Science 122, 100843, 2021
1142021
Dye adsorption from single and binary systems using NiO‐MnO2 nanocomposite and artificial neural network modeling
NM Mahmoodi, Z Hosseinabadi‐Farahani, H Chamani
Environmental Progress & Sustainable Energy 36 (1), 111-119, 2017
542017
Modeling of pore wetting in vacuum membrane distillation
H Chamani, T Matsuura, D Rana, CQ Lan
Journal of Membrane Science 572, 332-342, 2019
402019
CFD-based genetic programming model for liquid entry pressure estimation of hydrophobic membranes
H Chamani, P Yazgan-Birgi, T Matsuura, D Rana, MIH Ali, HA Arafat, ...
Desalination 476, 114231, 2020
292020
Transport characteristics of liquid-gas interface in a capillary membrane pore
H Chamani, T Matsuura, D Rana, CQ Lan
Journal of membrane science 611, 118387, 2020
232020
Functionalized copper oxide–zinc oxide nanocomposite: synthesis and genetic programming model of dye adsorption
NM Mahmoodi, H Chamani, HR Kariminia
Desalination and Water Treatment 57 (40), 18755-18769, 2016
232016
Poly (butylene succinate)/polyethersulfone/poly (ethylene glycol) membrane: influence of additive molecular weight and concentration on morphology, properties, and performance …
V Ghaffarian, SM Mousavi, M Bahreini, H Chamani
Desalination and Water Treatment 57 (36), 16800-16809, 2016
212016
Nanostructured adsorbent (MnO2): Synthesis and least square support vector machine modeling of dye removal
NM Mahmoodi, Z Hosseinabadi-Farahani, H Chamani
Desalination and Water Treatment 57 (45), 21524-21533, 2016
132016
Synthesis of CuO–NiO nanocomposite and dye adsorption modeling using artificial neural network
NM Mahmoodi, Z Hosseinabadi-Farahani, F Bagherpour, MR Khoshrou, ...
Desalination and Water Treatment 57 (37), 17220-17229, 2016
132016
Examination of the bubble gas transport method to estimate the membrane pore size distribution
H Chamani, T Matsuura, D Rana, CQ Lan
Desalination 531, 115714, 2022
122022
Synthesis of nanostructured adsorbent and dye adsorption modeling by an intelligent model for multicomponent systems
NM Mahmoodi, Z Hosseinabadi-Farahani, H Chamani
Korean Journal of Chemical Engineering 33, 902-913, 2016
112016
Modeling of the movement of two immiscible liquids in membrane pores
MR Qtaishat, H Chamani, T Matsuura, D Rana, CQ Lan
International Journal of Multiphase Flow 157, 104282, 2022
102022
Water flux increase by inverting the membrane from its normal position–Is it occurring in FO and PRO?
YS Khoo, WJ Lau, H Chamani, T Matsuura, AF Ismail
Journal of Water Process Engineering 37, 101366, 2020
102020
An agent-based simulation with NetLogo platform to evaluate forward osmosis process (PRO Mode)
M Taherian, SM Mousavi, H Chamani
Chinese Journal of Chemical Engineering 26 (12), 2487-2494, 2018
82018
A reverse approach to evaluate membrane pore size distribution by the bubble gas transport method using fewer experimental data points
H Chamani, T Matsuura, D Rana, CQ Lan
Desalination 518, 115287, 2021
52021
Effect of temperature and salt on PVDF membrane wetting properties
K Jiang, H Chamani, T Matsuura, D Rana, C Lan
Journal of Construction Materials, 2021
42021
Synthesis of nanoadsorbent and modeling of dye removal from wastewater using adaptive neuro-fuzzy inference system.
NM Mahmoodi, Z Hosseinabadi-Farahani, H Chamani
Desalination and Water Treatment 75, 245-252, 2017
42017
Data-science-based reconstruction of 3-D membrane pore structure using a single 2-D micrograph
H Chamani, A Rabbani, KP Russell, AL Zydney, ED Gomez, ...
Journal of Membrane Science, 121673, 2023
32023
Rapid Reconstruction of 3-D Membrane Pore Structure Using a Single 2-D Micrograph
H Chamani, A Rabbani, KP Russell, AL Zydney, ED Gomez, ...
arXiv preprint arXiv:2301.10601, 2023
12023
A data science-driven approach for structure-porosity linkage of membrane using SEM images
H Chamani, J Werber, J Hattrick-Simpers
33rd Canadian Materials Science Conference, Toronto, Canada, 2022
2022
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