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Hamidreza Eivazi
Hamidreza Eivazi
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Titel
Zitiert von
Zitiert von
Jahr
Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations
H Eivazi, M Tahani, P Schlatter, R Vinuesa
Physics of Fluids 34 (7), 2022
1882022
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
1502020
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
H Eivazi, S Le Clainche, S Hoyas, R Vinuesa
Expert Systems with Applications 202, 117038, 2022
942022
Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence
H Eivazi, L Guastoni, P Schlatter, H Azizpour, R Vinuesa
International Journal of Heat and Fluid Flow 90, 108816, 2021
702021
Physics-informed deep-learning applications to experimental fluid mechanics
H Eivazi, Y Wang, R Vinuesa
Measurement science and technology 35 (7), 075303, 2024
302024
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
Enhancement of PIV measurements via physics-informed neural networks
G Hasanuzzaman, H Eivazi, S Merbold, C Egbers, R Vinuesa
Measurement Science and Technology 34 (4), 044002, 2023
172023
Analysis and prediction of gas turbine performance with evaporative cooling processes by developing a stage stacking algorithm
M Salehi, H Eivazi, M Tahani, M Masdari
Journal of cleaner production 277, 122666, 2020
142020
The sustainable development goals and aerospace engineering: a critical note through artificial intelligence
A Sánchez-Roncero, Ò Garibo-i-Orts, JA Conejero, H Eivazi, F Mallor, ...
Results in Engineering 17, 100940, 2023
122023
Sentiment analysis on Twitter data towards climate action
E Rosenberg, C Tarazona, F Mallor, H Eivazi, D Pastor-Escuredo, ...
Results in Engineering 19, 101287, 2023
112023
Predicting the temporal dynamics of turbulent channels through deep learning
G Borrelli, L Guastoni, H Eivazi, P Schlatter, R Vinuesa
International Journal of Heat and Fluid Flow 96, 109010, 2022
102022
The potential of artificial intelligence for achieving healthy and sustainable societies
B Sirmaçek, S Gupta, F Mallor, H Azizpour, Y Ban, H Eivazi, H Fang, ...
The ethics of artificial intelligence for the sustainable development goals …, 2023
92023
An experimental study on boundary layer transition detection over a pitching supercritical airfoil using hot-film sensors
A Tabrizian, M Tatar, M Masdari, H Eivazi, M Seddighi
International Journal of Heat and Fluid Flow 86, 108743, 2020
82020
Assessment of turbulence models for transonic oscillating airfoil
M Tahani, M Masdari, H Eivazi, M Tatar
International Journal of Numerical Methods for Heat & Fluid Flow 27 (11 …, 2017
82017
FE² Computations With Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation
H Eivazi, JA Tröger, S Wittek, S Hartmann, A Rausch
Mathematical and Computational Applications 28 (4), 2023
42023
Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks
A Jardines, H Eivazi, E Zea, J García-Heras, J Simarro, E Otero, M Soler, ...
Expert systems with applications 241, 122466, 2024
32024
Physics-informed transfer learning strategy to accelerate unsteady fluid flow simulations
J Jeon, J Lee, H Eivazi, R Vinuesa, SJ Kim
arXiv preprint arXiv:2206.06817, 2022
22022
Nonlinear model reduction for operator learning
H Eivazi, S Wittek, A Rausch
The Second Tiny Papers Track at ICLR 2024, 2024
2024
Efficient integration of deep neural networks in sequential multiscale simulations
JA Tröger, H Eivazi, S Hartmann, S Wittek, A Rausch
PAMM 23 (4), e202300052, 2023
2023
β-Variational autoencoders for nonlinear and ortogonal reduced-order models in turbulence
R Vinuesa, H Eivazi, S Le Clainche, S Hoyas
Bulletin of the American Physical Society 67, 2022
2022
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