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Mohammad Nikooei
Mohammad Nikooei
Institut des Géosciences de l'Environnement (IGE), INRAE
Verified email at inrae.fr
Title
Cited by
Cited by
Year
Studying effect of entrainment on dynamics of debris flows using numerical simulation
M Nikooei, MT Manzari
Computers & geosciences 134, 104337, 2020
182020
Towards Depth-Averaged Modelling of the Decay of Granular Flows by Deposition
M Nikooei, CE Choi
Computers and Geotechnics 148, 104792, 2022
72022
Investigating the effect of mixing layer rheology on granular flow over entrainable beds using SPH method
M Nikooei, M T Manzari
Computers & Geosciences, 104792, 2021
72021
Revealing the physics of sediment ploughing by geophysical mass flows: Depth-averaged approach
CE Choi, M Nikooei
Computers and Geotechnics 154, 105119, 2023
22023
A surrogate model for depth-averaged erosion and deposition closures using deep learning
M Nikooei, CE Choi
EGU General Assembly 2023- Session NH3.11 – Artificial Intelligence, 2023
2023
Multiscale Data-Driven Modeling of Transient Erosion and Deposition Physics of Dense Granular Flows
M Nikooei, CE Choi
Available at SSRN 4823262, 0
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