Theo dõi
Mohammad Sharifi Ghazijahani
Mohammad Sharifi Ghazijahani
Email được xác minh tại tu-ilmenau.de
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Effect of thickness-to-chord ratio on aerodynamics of non-slender delta wing
MS Ghazijahani, MM Yavuz
Aerospace Science and Technology 88, 298-307, 2019
252019
On the benefits and limitations of echo state networks for turbulent flow prediction
MS Ghazijahani, F Heyder, J Schumacher, C Cierpka
Measurement Science and Technology 34 (1), 014002, 2022
162022
Flow structure and dynamics behind cylinder arrays at Reynolds number∼ 100
M Sharifi Ghazijahani, C Cierpka
Physics of Fluids 35 (6), 2023
92023
Spatio-temporal dynamics of superstructures and vortices in turbulent Rayleigh–Bénard convection
M Sharifi Ghazijahani, C Cierpka
Physics of Fluids 36 (3), 2024
72024
The SCALEX facility–an apparatus for scaled fluid dynamical experiments
M Sharifi Ghazijahani, C Kästner, V Valori, A Thieme, K Täschner, ...
tm-Technisches Messen 90 (5), 296-309, 2023
72023
Spatial prediction of the turbulent unsteady von Kármán vortex street using echo state networks
M Sharifi Ghazijahani, F Heyder, J Schumacher, C Cierpka
Physics of Fluids 35 (11), 2023
52023
On the prediction of the turbulent flow behind cylinder arrays via echo state networks
MS Ghazijahani, C Cierpka
Machine Learning: Science and Technology 5 (3), 035005, 2024
32024
Large-scale-aware data augmentation for reduced-order models of high-dimensional flows
P Teutsch, MS Ghazijahani, F Heyder, C Cierpka, J Schumacher, P Mäder
APL Machine Learning 3 (1), 2025
12025
Echo state networks for modeling turbulent convection
M Sharifi Ghazijahani, C Cierpka
Scientific Reports 14 (1), 1-12, 2024
12024
On the role of vortices in turbulent rayleigh-bénard convection
MS Ghazijahani, C Cierpka
12024
The von Kármán Vortex Street, an archetype for Machine Learning in turbulence
MS Ghazijahani, F Heyder, J Schumacher, C Cierpka
Symposium “Experimental Fluid Mechanics, 7-9, 2021
12021
On the spatial prediction of the turbulent flow behind an array of cylinders via echo state networks
MS Ghazijahani, C Cierpka
Engineering Applications of Artificial Intelligence 144, 110079, 2025
2025
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system
P Teutsch, P Pfeffer, M Sharifi Ghazijahani, C Cierpka, J Schumacher, ...
APL Machine Learning 3 (1), 2025
2025
On the Spatial Prediction of the Turbulent Flow Behind an Array of Cylinders Via Echo State Networks
M Sharifi Ghazijahani, C Cierpka
Available at SSRN 5005163, 2024
2024
Effect of thickness-to-chord ratio on flow structure of nonslender delta wing
B Gülsaçan, MS Ghazijahani, G Şencan, MM Yavuz
2018
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