Hamidreza Eivazi

According to our database, Hamidreza Eivazi authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nonlinear model reduction for operator learning.

Hamidreza Eivazi, Stefan H. A. Wittek, Andreas Rausch

CoRR, 2024

2022

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows.

Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa

Expert Syst. Appl., 2022

The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence.

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

CoRR, 2022

Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations.

Joongoo Jeon, Juhyeong Lee, Hamidreza Eivazi, Ricardo Vinuesa, Sung Joong Kim

CoRR, 2022

Physics-informed deep-learning applications to experimental fluid mechanics.

Hamidreza Eivazi, Ricardo Vinuesa

CoRR, 2022

Predicting the temporal dynamics of turbulent channels through deep learning.

Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa

CoRR, 2022

The potential of artificial intelligence for achieving healthy and sustainable societies.

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

CoRR, 2022

2021

Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations.

Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa

CoRR, 2021

2020

Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows.

Hamidreza Eivazi, Hadi Veisi, Mohammad Hossein Naderi, Vahid Esfahanian

CoRR, 2020

Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence.

Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa

CoRR, 2020