Computational Applied Mechanics

Pleased about successful project approval

17.04.2026|06:42 Uhr

Project start: "A physics-based machine learning method for discovering multiscale material models demonstrated for high entropy alloys"

We are excited to announce our collaboration with Access e.V. and Dr.-Ing. Shahed Rezaei in the field of physics-based machine learning methods for multiscale material models, with a specific focus on high entropy alloys (HEAs).

This project, funded by the German Research Foundation (DFG), will bridge the gap between complex simulations and experimental data through the use of neural operators and deep learning, making the modeling of high entropy alloys more efficient.