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:
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Neural Galerkin schemes for model reduction of transport-dominated problems
J. Berman, P. Schwerdtner, Y. Wen, B. Peherstorfer* -
Physics-Informed Data-Driven Discovery of Quantities of Interest and Their Governing Equations
J. Bakarji*, J. Callaham, N. Kutz, S. Brunton -
3D Volumetric Temporal Super-Resolution Models for Transport Phenomena
M. Fernández-Godino*, W. Chung, D. Lucas, M. Ihme -
Inverse Problems for Shallow-Water Equations solved by Physics-Informed Machine Learning methods
H. Boulenc*, J. Monnier, P. Garambois, R. Bouclier
