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ORCIDHamidreza Eivazi
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2020 – today
- 2024
[j2]Aniel Jardines
, Hamidreza Eivazi, Elias Zea, Javier García-Heras, Juan Simarro, Evelyn Otero, Manuel Soler, Ricardo Vinuesa:
Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks. Expert Syst. Appl. 241: 122466 (2024)- [c1]Hamidreza Eivazi, Stefan H. A. Wittek, Andreas Rausch:
Nonlinear model reduction for operator learning. Tiny Papers @ ICLR 2024 - [i11]Hamidreza Eivazi, Stefan H. A. Wittek, Andreas Rausch:
Nonlinear model reduction for operator learning. CoRR abs/2403.18735 (2024) - [i10]Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch:
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks. CoRR abs/2405.13759 (2024) - 2022
- [j1]Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa:
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. Expert Syst. Appl. 202: 117038 (2022) - [i9]Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, F. Fuso Nerini, Ricardo Vinuesa:
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR abs/2202.07424 (2022) - [i8]Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa:
Predicting the temporal dynamics of turbulent channels through deep learning. CoRR abs/2203.00974 (2022) - [i7]Hamidreza Eivazi, Ricardo Vinuesa:
Physics-informed deep-learning applications to experimental fluid mechanics. CoRR abs/2203.15402 (2022) - [i6]Joongoo Jeon, Juhyeong Lee, Hamidreza Eivazi, Ricardo Vinuesa, Sung Joong Kim:
Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations. CoRR abs/2206.06817 (2022) - [i5]Alejandro Sánchez-Roncero, Òscar Garibo-i-Ortsa, J. Alberto Conejero, Hamidreza Eivazi, Fermín Mallor, Emelie Rosenberg, Francesco Fuso Nerini, Javier García-Martínez, Ricardo Vinuesa, Sergio Hoyas:
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence. CoRR abs/2211.02409 (2022) - 2021
- [i4]Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa:
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. CoRR abs/2107.10711 (2021) - [i3]Hamidreza Eivazi, Soledad Le Clainche Martínez, Sergio Hoyas, Ricardo Vinuesa:
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. CoRR abs/2109.01514 (2021) - 2020
- [i2]Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa:
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR abs/2005.02762 (2020) - [i1]Hamidreza Eivazi, Hadi Veisi, Mohammad Hossein Naderi, Vahid Esfahanian:
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows. CoRR abs/2007.00936 (2020)
Coauthor Index
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