In this seminar we will study advanced numerical methods for the solution of parameterized PDEs in various application contexts. A paricular emphasise will be on model order reduction and recent machine learning approaches. Among other approaches, we will discuss the usage of data driven methods based on deep neural networks (DNNs), as well as on physics informed neural networks (PINNs).

There will be a preliminary discussion for interested students on Wednesday, January 26th 2022 at 1 p.m. in room 120.029 in the second floor of Orléans-Ring 10. Virtual participation is also possible.
Alternatively you my also participate virtually. Please connect via Zoom to https://wwu.zoom.us/j/69240672478?pwd=ZklXcTJtQ09GUkhOZG5PVmswL01HZz09.
See also at HISLSF .