Hamidreza Eivazi

19 papers Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
EquiNO: A physics-informed neural operator for multiscale simulations.
J. Comput. Phys.
Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch
2025 J jnl
A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials.
CoRR
Dhananjeyan Jeyaraj, Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch
2025 J jnl
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting.
CoRR
Sakshi Dhankhar, Stefan H. A. Wittek, Hamidreza Eivazi, Andreas Rausch
2025 J jnl
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations.
CoRR
Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch
2024 J jnl
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis.
CoRR
Hamidreza Eivazi, André Hebenbrock, Raphael Ginster, Steffen Blömeke, Stefan H. A. Wittek, Christoph Hermann, Thomas Stefan Spengler, Thomas Turek, Andreas Rausch
2024 J jnl
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks.
CoRR
Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger, Stefan H. A. Wittek, Stefan Hartmann, Andreas Rausch
2024 — conf
Nonlinear model reduction for operator learning.
Tiny Papers @ ICLR
Hamidreza Eivazi, Stefan H. A. Wittek, Andreas Rausch
2024 J jnl
Nonlinear model reduction for operator learning.
CoRR
Hamidreza Eivazi, Stefan H. A. Wittek, Andreas Rausch
2024 J jnl
Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks.
Expert Syst. Appl.
Aniel Jardines, Hamidreza Eivazi, Elias Zea, Javier García-Heras, Juan Simarro, Evelyn Otero, Manuel Soler, Ricardo Vinuesa
2022 J jnl
Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations.
CoRR
Joongoo Jeon, Juhyeong Lee, Hamidreza Eivazi, Ricardo Vinuesa, Sung Joong Kim
2022 J jnl
Physics-informed deep-learning applications to experimental fluid mechanics.
CoRR
Hamidreza Eivazi, Ricardo Vinuesa
2022 J jnl
Predicting the temporal dynamics of turbulent channels through deep learning.
CoRR
Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa
2022 J jnl
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence.
CoRR
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
2022 J jnl
The potential of artificial intelligence for achieving healthy and sustainable societies.
CoRR
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
2022 J jnl
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows.
Expert Syst. Appl.
Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa
2021 J jnl
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations.
CoRR
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa
2021 J jnl
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows.
CoRR
Hamidreza Eivazi, Soledad Le Clainche Martínez, Sergio Hoyas, Ricardo Vinuesa
2020 J jnl
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows.
CoRR
Hamidreza Eivazi, Hadi Veisi, Mohammad Hossein Naderi, Vahid Esfahanian
2020 J jnl
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence.
CoRR
Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa