Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. - Hamidreza Eivazi; Luca Guastoni; Philipp Schlatter; Hossein Azizpour; Ricardo Vinuesa (CoRR, 2020)

Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows. - Hamidreza Eivazi; Hadi Veisi; Mohammad Hossein Naderi; Vahid Esfahanian (CoRR, 2020)

Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. - Hamidreza Eivazi; Mojtaba Tahani; Philipp Schlatter; Ricardo Vinuesa (CoRR, 2021)

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 001; Francesco Fuso Nerini; et al. (CoRR, 2022)

Predicting the temporal dynamics of turbulent channels through deep learning. - Giuseppe Borrelli; Luca Guastoni; Hamidreza Eivazi; Philipp Schlatter; Ricardo Vinuesa (CoRR, 2022)

Physics-informed deep-learning applications to experimental fluid mechanics. - Hamidreza Eivazi; Ricardo Vinuesa (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)

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)

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)

Nonlinear model reduction for operator learning. - Hamidreza Eivazi; Stefan H. A. Wittek; Andreas Rausch 001 (Tiny Papers @ ICLR, 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 001 (CoRR, 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 001 (CoRR, 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)

A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting. - Sakshi Dhankhar; Stefan H. A. Wittek; Hamidreza Eivazi; Andreas Rausch 001 (CoRR, 2025)

EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations. - Hamidreza Eivazi; Jendrik-Alexander Tröger; Stefan H. A. Wittek; Stefan Hartmann; Andreas Rausch 001 (CoRR, 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 001 (CoRR, 2025)