7 citations · 7 across the 5 of their papers we have counts for
5 papers
Probabilistic and Geometry Aware Neural Surrogate of Scrape Off Layer Plasma Simulations
Gabriele Gianuzzo, Stefan Dasbach, Fleur Hendriks +2
Fast surrogates for tokamak boundary-plasma simulation are typically deterministic regressors mapping a global operating point to a flattened vector of cell values. Near the divert…
Integrated full pulse modeling for pellet injection in tokamaks: HPI2 model improvement and validation in WEST
A. Panera Alvarez, F. Koechl, J. Artaud +6
Reliable modeling and control of core density is essential for reactor-relevant magnetic confinement fusion operation, motivating cryogenic pellet injection as a primary fueling ac…
Deep-Learning based surrogate models for plasma exhaust simulations -- SOLPS-NN
Stefan Dasbach, Sebastijan Brezinsek, Yunfeng Liang +2
Accurate models of the scrape-off layer are required for the design and operation of tokamak fusion reactors. Scrape-off layer simulations are computationally expensive, difficult…
The effect of neon seeding on plasma edge transport in EAST
Dieter Boeyaert, Stefano Carli, Wouter Dekeyser +6
The effect of neon seeding on different transport mechanisms in EAST is investigated by analyzing SOLPSITER simulations. By evaluating the agreement between experimental observatio…
Numerical implications of including drifts in SOLPS-ITER simulations of EAST
Dieter Boeyaert, Stefano Carli, Wouter Dekeyser +2
The inclusion of drifts in plasma edge codes like SOLPS-ITER is required to match simulation data with experimental profiles. However, this remains numerically challenging. In this…