Rene Winchenbach

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

Learning physical simulations has been an essential and central aspect of many recent research efforts in machine learning, particularly for Navier-Stokes-based fluid mechanics. Classic numerical solvers have traditionally been computationally expensive and challenging to use in inverse problems, wh…