31 citations · 50 across the 4 of their papers we have counts for
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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…
Semianalytical calculation of the zonal-flow oscillation frequency in stellarators
Pedro Monreal, Edilberto Sánchez, Iván Calvo +5
Due to their capability to reduce turbulent transport in magnetized plasmas, understanding the dynamics of zonal flows is an important problem in the fusion programme. Since the pi…
Residual zonal flows in tokamaks and stellarators at arbitrary wavelengths
P. Monreal, I. Calvo, E. Sánchez +5
In the linear collisionless limit, a zonal potential perturbation in a toroidal plasma relaxes, in general, to a non-zero residual value. Expressions for the residual value in toka…
Gyrokinetic studies of core turbulence features in ASDEX Upgrade H-mode plasmas
A. Banon Navarro, T. Happel, T. Goerler +6
Gyrokinetic validation studies are crucial in developing confidence in the model incorporated in numerical simulations and thus improving their predictive capabilities. As one step…