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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)…
physics.plasm-ph2024
A reduced kinetic method for investigating non-local ion heat transport in ideal multi-species plasmas
Nicholas Mitchell, David Chapman, Christopher McDevitt +2
A reduced kinetic method (RKM) with a first-principle collision operator is introduced in a 1D2V planar geometry and implemented in a computationally inexpensive code to investigat…
physics.plasm-ph2024
The Impact of Collisionality on the Runaway Electron Avalanche during a Tokamak Disruption
Jonathan Arnaud, Christopher McDevitt
The exponential growth (avalanching) of runaway electrons (REs) during a tokamak disruption continues to be a large uncertainty in RE modeling. The present work investigates the im…