3 citations · 9 across the 6 of their papers we have counts for
6 papers
A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
Dhananjeyan Jeyaraj, Hamidreza Eivazi, Jendrik-Alexander Tröger +3
The behavior of materials is influenced by a wide range of phenomena occurring across various time and length scales. To better understand the impact of microstructure on macroscop…
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan Wittek +2
Multiscale problems are ubiquitous in physics. Numerical simulations of such problems by solving partial differential equations (PDEs) at high resolution are computationally too ex…
A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
Sakshi Dhankhar, Stefan Wittek, Hamidreza Eivazi +1
Study Region: Goslar and Göttingen, Lower Saxony, Germany. Study Focus: In July 2017, the cities of Goslar and Göttingen experienced severe flood events characterized by short warn…
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
Hamidreza Eivazi, André Hebenbrock, Raphael Ginster +6
Battery degradation remains a critical challenge in the pursuit of green technologies and sustainable energy solutions. Despite significant research efforts, predicting battery cap…
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger +3
Multiscale problems are widely observed across diverse domains in physics and engineering. Translating these problems into numerical simulations and solving them using numerical sc…
Nonlinear model reduction for operator learning
Hamidreza Eivazi, Stefan Wittek, Andreas Rausch
Operator learning provides methods to approximate mappings between infinite-dimensional function spaces. Deep operator networks (DeepONets) are a notable architecture in this field…