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Hamed Fathiannasab, Ph.D.
Hamed Fathiannasab, Ph.D.
Postdoctoral Research Fellow, University of Waterloo
Verifisert e-postadresse på uwaterloo.ca
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The role of artificial intelligence in the mass adoption of electric vehicles
M Ahmed, Y Zheng, A Amine, H Fathiannasab, Z Chen
Joule 5 (9), 2296-2322, 2021
722021
Application of artificial intelligence to state-of-charge and state-of-health estimation of calendar-aged lithium-ion pouch cells
AG Kashkooli, H Fathiannasab, Z Mao, Z Chen
Journal of The Electrochemical Society 166 (4), A605, 2019
442019
Chemo-mechanical modeling of stress evolution in all-solid-state lithium-ion batteries using synchrotron transmission X-ray microscopy tomography
H Fathiannasab, L Zhu, Z Chen
Journal of Power Sources 483, 229028, 2021
412021
Three-dimensional modeling of all-solid-state lithium-ion batteries using synchrotron transmission X-ray microscopy tomography
H Fathiannasab, AG Kashkooli, T Li, L Zhu, Z Chen
Journal of the Electrochemical Society 167 (10), 100558, 2020
382020
Elucidating and tackling capacity fading of zinc-iodine redox flow batteries
M Mousavi, H Dou, H Fathiannasab, CJ Silva, A Yu, Z Chen
Chemical Engineering Journal 412, 128499, 2021
252021
Development of a model to evaluate the water level impact on drain cooling in horizontal high pressure feedwater heaters
SM Hossienalipour, S Karbalaee, H Fathiannasab
Applied Thermal Engineering 110, 590-600, 2017
142017
Extending pore network models to include electrical double layer effects in micropores for studying capacitive deionization
M McKague, H Fathiannasab, M Agnaou, MA Sadeghi, J Gostick
Desalination 535, 115784, 2022
102022
Prediction of diffusional conductance in extracted pore network models using convolutional neural networks
N Misaghian, M Agnaou, MA Sadeghi, H Fathiannasab, I Hadji, E Roberts, ...
Computers & Geosciences 162, 105086, 2022
72022
The role of artificial intelligence in the mass adoption of electric vehicles. Joule 5 (9): 2296–2322
M Ahmed, Y Zheng, A Amine, H Fathiannasab, Z Chen
52021
Multi-Physics Modeling of Lithium-Ion Battery Electrodes
H Fathiannasab
University of Waterloo, 2020
12020
Rapid prediction of particle-scale state-of-lithiation in Li-ion battery microstructures using convolutional neural networks
S Ly, MA Sadeghi, N Misaghian, H Fathiannasab, J Gostick
Applied Energy 360, 122803, 2024
2024
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Artikler 1–11