IS13a - Physics informed machine learning for scientific applications
Main Organizer:
Dr.
Massimiliano Lupo Pasini
(
Oak Ridge National Laboratory
, United States
)
Chaired by:
Dr. Massimiliano Lupo Pasini (Oak Ridge National Laboratory , United States)
Dr. Massimiliano Lupo Pasini (Oak Ridge National Laboratory , United States)
Scheduled presentations:
-
Keynote
Graph Neural Networks Motivated By PDE’s
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Physics-Informed Machine Learning for Proper Orthogonal Decomposition (POD) based Reduced-Order Modelling (ROM) of Parametric, Partial Differential Equations (PDEs)
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Physics-Informed Neural Networks With Hard Constraints for Solid and Contact Mechanics
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Physics-Informed Neural Networks for Granular Flows Modelling
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Physics Informed Neural Networks for Gravity Currents Reconstruction from Limited Data