23 citations · 60 across the 36 of their papers we have counts for
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physics.plasm-ph2023★ 5 cited
On learning latent dynamics of the AUG plasma state
A. Kit, A. E. Järvinen, Y. R. J. Poels +5
In this work, we demonstrate the utility of state representation learning applied to modeling the time evolution of electron density and temperature profiles at ASDEX-Upgrade (AUG)…
physics.plasm-ph2023★ 23 cited
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates
Yoeri Poels, Gijs Derks, Egbert Westerhof +3
Managing divertor plasmas is crucial for operating reactor scale tokamak devices due to heat and particle flux constraints on the divertor target. Simulation is an important tool t…