2 papers
physics.plasm-ph2026
Hierarchical Framework of Runaway Electrons using Deep Learning
Tyler Mark, Christopher McDevitt
We present an adjoint deep learning framework describing the evolution of fluid moments and the energy distribution of the runaway electron (RE) population. We demonstrate that a c…
physics.plasm-ph2024
A physics-constrained deep learning surrogate model of the runaway electron avalanche growth rate
Jonathan S. Arnaud, Tyler Mark, Christopher J. McDevitt
A surrogate model of the runaway electron avalanche growth rate in a magnetic fusion plasma is developed. This is accomplished by employing a physics-informed neural network (PINN)…