MS220A Bridging Machine Learning and Physics: Advancements in Continuum Mechanics and Transport Phenomena I
MS Corresponding Organizer:
Dr.
M. Giselle Fernández-Godino
(
Lawrence Livermore National Laboratory
, United States
)
Scheduled presentations:
-
Neural Galerkin schemes for model reduction of transport-dominated problems
-
Physics-Informed Data-Driven Discovery of Quantities of Interest and Their Governing Equations
-
3D Volumetric Temporal Super-Resolution Models for Transport Phenomena
-
Inverse Problems for Shallow-Water Equations solved by Physics-Informed Machine Learning methods
