most citedTraining neural networks under physical constraints using a stochastic augmented Lagrangian approach

13 citations · 13 across the 1 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2020★ 13 cited

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…

physics.plasm-ph2020

Encoder-decoder neural network for solving the nonlinear Fokker-Planck-Landau collision operator in XGC

M. A. Miller, R. M. Churchill, A. Dener +3

An encoder-decoder neural network has been used to examine the possibility for acceleration of a partial integro-differential equation, the Fokker-Planck-Landau collision operator.…