Follow
Mohammad Hossein Naderi
Title
Cited by
Cited by
Year
Deep neural networks for nonlinear model order reduction of unsteady flows
H Eivazi, H Veisi, MH Naderi, V Esfahanian
Physics of Fluids 32 (10), 2020
1492020
Optimization of airfoil Based Savonius wind turbine using coupled discrete vortex method and salp swarm algorithm
M Masdari, M Tahani, MH Naderi, N Babayan
Journal of Cleaner Production 222, 47-56, 2019
702019
New method for dynamic mode decomposition of flows over moving structures based on machine learning (hybrid dynamic mode decomposition)
MH Naderi, H Eivazi, V Esfahanian
Physics of Fluids 31 (12), 2019
262019
Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases
MH Naderi, H Babaee
Computer Methods in Applied Mechanics and Engineering 405, 115813, 2023
92023
Oblique projection for scalable rank-adaptive reduced-order modelling of nonlinear stochastic partial differential equations with time-dependent bases
M Donello, G Palkar, MH Naderi, DC Del Rey Fernández, H Babaee
Proceedings of the Royal Society A 479 (2278), 20230320, 2023
7*2023
Dynamic mode decomposition analysis for Savonius wind turbine
MH Naderi, M Tahani, V Esfahanian
Journal of Renewable and Sustainable Energy 11 (6), 2019
52019
Low-Rank Approximation with Time-Dependent Bases for Uncertainty Quantification Turbulent Reactive Flows
S Akbari, MH Naderi, H Babaee
Bulletin of the American Physical Society, 2023
2023
Leveraging Tangent Manifolds for Efficient Time-Dependent Basis Reduced Order Models
MH Naderi, H Babaee
Bulletin of the American Physical Society, 2023
2023
On-the-fly sparse interpolation for stochastic reduced-order modeling with time-dependent bases
MH Naderi, H Babaee
Bulletin of the American Physical Society, 2022
2022
Real-time reduced order modeling of deterministic partial differential equations using time dependent basis
P Patil, MH Naderi, H Babaee
Bulletin of the American Physical Society 67, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–10