MS070A Deep learning and reduced order modeling for differential equations I
MS Corresponding Organizer: Dr. Federico Pichi (SISSA)
Chaired by:
Phd. Stefania Fresca (Politecnico di Milano , Italy) , Dr. Federico Pichi (SISSA , Italy)
Phd. Stefania Fresca (Politecnico di Milano , Italy) , Dr. Federico Pichi (SISSA , Italy)
Scheduled presentations:
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Keynote
Time Integration of Parametrized Partial Differential Equations with Neural Network Surrogate Models
M. Kast*, J. Hesthaven -
A Novel Reduced-Order Model for Advection-Dominated Problems Based on the Radon-Cumulative-Distribution Transform
G. Stabile*, T. Long, R. Barnett, R. Jefferson-Loveday, M. Icardi -
Data-driven Models for Mold-based Processes
R. Pohlmann*, A. Gruber, R. Rao, N. Trask, S. Elgeti -
Neural Galerkin Schemes That Can Preserve Hamiltonians and Other Quantities
P. Schwerdtner*, P. Schulze, J. Berman, B. Peherstorfer -
A Deep Learning Surrogate Model for Reservoir Characterization
C. Millevoi*, C. Zoccarato, M. Ferronato