MS005E Deep Learning Computing V
MS Corresponding Organizer: Dr. David Pardo Zubiaur (University of the Basque Country (UPV/EHU))
Chaired by:
Dr. Carlos Uriarte (BCAM - Basque Center for Applied Mathematics , Spain) , Dr. Tim De Ryck (ETH Zurich , Switzerland)
Dr. Carlos Uriarte (BCAM - Basque Center for Applied Mathematics , Spain) , Dr. Tim De Ryck (ETH Zurich , Switzerland)
Scheduled presentations:
-
Parsimonious PINN-PGD with full domain decomposition capabilities
C. Ghnatios*, F. Chinesta -
Physics informed Graph Neural Networks – towards real-time applications for haptic devices
P. Martins*, B. Moya, F. Chinesta, E. Cueto -
New treatment of the boundary conditions in Deep-Galerkin/PINNs methods: application to high dimensional non-linear parabolic PDEs
J. García Rodríguez*, J. Pérez Villarino, Á. Leitao -
Learning Thermodynamically Consistent Master Equations for Open Quantum Systems
P. Sentz*, S. Günther, B. Keith -
Large-scale Statistical Learning for Mass Transport Prediction in Porous Materials Using 90,000 Artificially Generated Microstructures
B. Prifling*, M. Röding, P. Townsend, M. Neumann, V. Schmidt
