Training neural networks under physical constraints using a stochastic augmented Lagrangian approach

Alp Dener, Marco Andres Miller, Randy Michael Churchill +2

We investigate the physics-constrained training of an encoder-decoder neural network for approximating the Fokker-Planck-Landau collision operator in the 5-dimensional kinetic fusi…