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Singularity formation for the hydrostatic Euler Equations
This proposal aims to integrate mathematical analysis with numerical simulations using Physics-Informed Neural Network (PINN) schemes to investigate the primitive equations, a fundamental model for atmospheric and geophysical flows. The primary focus is on achieving a precise characterization of singularity formation in these models.
Faculty Supervisor:
Slim Ibrahim
Student:
Partner:
Cergy-Paris Université
Discipline:
Mathematics
Sector:
Education; Environmental Science and Technology
University:
University of Victoria
Program:
Globalink Research Award
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