Invited speaker at the RICAM of the Austrian Academy of Sciences

Today I was invited to give a seminar at the Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences, in the Computational Methods for PDEs group. I had the opportunity to present our work on reduced-order modelling and recent hybridisation of the PGD with the Finite Element Neural Network Interpolation (FENNI) framework (Daby-Seesaram, Škardová, and Genet 2024; Škardová, Daby-Seesaram, and Genet 2024).

The shown exemples used our open-source code, NeuROM

References

Daby-Seesaram, Alexandre, Kateřina Škardová, and Martin Genet. 2024. “Finite Element Neural Network Interpolation: Hybridisation with the Proper Generalised Decomposition for Surrogate Modelling.” In Preparation.

Škardová, Kateřina, Alexandre Daby-Seesaram, and Martin Genet. 2024. “Finite Element Neural Network Interpolation: Interpretable Neural Networks for Solving PDEs.” Submitted.