2 papers
physics.plasm-ph2026
First step toward multi machine ELM energy scalings and extrapolations to SPARC and ITER
R. Perillo, A. Redl, T. Eich +14
It is shown that the ELM energy loss normalized by the plasma stored energy (ΔEELM/Wplasma) for high-density small/QCE ELM regimes scales inversely with the separatrix turbulence p…
physics.plasm-ph2019
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices
R. M. Churchill, the DIII-D team
The multi-scale, mutli-physics nature of fusion plasmas makes predicting plasma events challenging. Recent advances in deep convolutional neural network architectures (CNN) utilizi…