MS191A Exploring New Avenues for the Interaction of Numerical Methods for PDEs and Deep Learning I
MS Corresponding Organizer: Mr. Paolo Zunino (MOX, Department of Mathematics, Politecnico di Milano)
Chaired by:
Mr. Paolo Zunino (MOX, Department of Mathematics, Politecnico di Milano , Italy) , Prof. Kent-Andre Mardal (University of Oslo / Simula Research Laboratory , Norway)
Mr. Paolo Zunino (MOX, Department of Mathematics, Politecnico di Milano , Italy) , Prof. Kent-Andre Mardal (University of Oslo / Simula Research Laboratory , Norway)
Scheduled presentations:
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Data driven approximation of the solutions to parametric eigenvalue problems
D. Boffi* -
DeepONet for Matrix-Free Preconditioners Construction
G. D'Inverno*, C. Millevoi, M. Ferronato -
Learning Mesh Extension Operators
O. Hellan* -
Collocation method with two-layer Neural Networks
F. Calabrò* -
Deep-Learning Preconditioners for Mixed-Dimensional Partial Differential Equations on 3D-1D Domains
N. Dimola*, N. Franco, P. Zunino -
Enhancing Thermal Conductivity Modeling of Polyurethane with Phase Change Materials via Physics-Informed Neural Networks at Multiple Scales
B. Liu*
