Hamidreza Eivazi

According to our database, Hamidreza Eivazi authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials.

Dhananjeyan Jeyaraj, Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch

CoRR, June, 2025

EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations.

Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch

CoRR, April, 2025

A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting.

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

CoRR, March, 2025

2024

Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks.

Aniel Jardines, Hamidreza Eivazi, Elias Zea, Javier García-Heras, Juan Simarro, Evelyn Otero, Manuel Soler, Ricardo Vinuesa

Expert Syst. Appl., 2024

DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis.

Hamidreza Eivazi, André Hebenbrock, Raphael Ginster, Steffen Blömeke, Stefan H. A. Wittek, Christoph Hermann, Thomas Stefan Spengler, Thomas Turek, Andreas Rausch

CoRR, 2024

Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks.

Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch

CoRR, 2024

Nonlinear model reduction for operator learning.

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

Proceedings of the Second Tiny Papers Track at ICLR 2024, 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, Heng Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, Francesco 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