5 citations · 9 across the 3 of their papers we have counts for
3 papers
physics.plasm-ph2026
Physics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices
J. Gallego, P. Protopapas, A. Bustos +6
In this work, we develop an inverse Physics-Informed Neural Network (PINN) framework to infer the dependence of the scrape-off layer (SOL) perpendicular heat conductivity on plasma…
physics.plasm-ph2019★ 5 cited
Global scaling of the heat transport in fusion plasmas
Sara Moradi, Johan Anderson, Michele Romanelli +2
A global heat flux model based on a fractional derivative of plasma pressure is proposed for the heat transport in fusion plasmas. The degree of the fractional derivative of the he…
physics.plasm-ph2009★ 4 cited
The level of non-thermal velocity fluctuations deduced from Doppler spectroscopy and its role on TJ-II confinement
B. Zurro, A. Baciero
The goal of this investigation is to study, in the line of previous works, the level of velocity fluctuations in different scenarios of the TJ-II stellarator. The method followed c…