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Hamidreza Eivazi
Hamidreza Eivazi
Verified email at tu-clausthal.de
Title
Cited by
Cited by
Year
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
1312022
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
1202020
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
732022
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
652021
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
252019
Physics-informed deep-learning applications to experimental fluid mechanics
H Eivazi, R Vinuesa
arXiv preprint arXiv:2203.15402, 2022
232022
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
122020
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
92023
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
92022
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
72017
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
62023
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
62023
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
62020
Sentiment analysis on Twitter data towards climate action
E Rosenberg, C Tarazona, F Mallor, H Eivazi, D Pastor-Escuredo, ...
52023
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
22023
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
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, 122466, 2023
12023
Efficient integration of deep neural networks in sequential multiscale simulations
JA Tröger, H Eivazi, S Hartmann, S Wittek, A Rausch
PAMM, 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, 2022
2022
NON-LINEAR ORTHOGONAL MODAL DECOMPOSITIONS IN TURBULENT FLOWS VIA AUTOENCODERS
H Eivazi, S Le Clainche, S Hoyas, R Vinuesa
Proceedings of 12th International Symposium on Turbulence and Shear Flow …, 2022
2022
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