DTE AICOMAS 2025

MS039D Deep Learning-based Reduced Order Models in Scientific Computing IV

Main Organizer: Phd. Stefania Fresca ( Politecnico di Milano , Italy )

Wed, 19/02/2025
11:30 - 13:30
Amphi Esquillan
MS039D

Chaired by:
Dr. Federico Pichi (SISSA , Italy) , Phd. Stefania Fresca (Politecnico di Milano , Italy)

Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge for Reliable and Immediate Pandemic Response
A. Schmidt (German Aerospace Center), H. Zunker (German Aerospace Center), A. Heinlein (TU Delft), *M. Kühn (German Aerospace Center)
Student Model Order Reduction with GNN-Based Reduced Bases for Unparametrized Geometries
*V. Matray, F. Amlani, F. Feyel, D. Néron
3D variational autoencoder to parameterise microstructure as inputs for crystal plasticity surrogate models
*M. White (UK Atomic Energy Authority), M. Atkinson (UK Atomic Energy Authority), A. Plowman (UK Atomic Energy Authority), P. Shanthraj (UK Atomic Energy Authority)