17 citations · 42 across the 5 of their papers we have counts for
5 papers
Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks
Andrea Merlo, Andrea Pavone, Daniel Böckenhoff +10
High- operations require a fast and robust inference of plasma parameters with a self-consistent MHD equilibrium. Precalculated MHD equilibria are usually employe…
Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations
Andrea Merlo, Daniel Böckenhoff, Jonathan Schilling +3
The computational cost of constructing 3D magnetohydrodynamic (MHD) equilibria is one of the limiting factors in stellarator research and design. Although data-driven approaches ha…
Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios
Andrea Merlo, Daniel Böckenhoff, Jonathan Schilling +7
In magnetic confinement fusion research, the achievement of high plasma pressure is key to reaching the goal of net energy production. The magnetohydrodynamic (MHD) model is used t…
Suppression of core turbulence by profile shaping in Wendelstein 7-X
A. v. Stechow, O. Grulke, Th. Wegner +23
In the Wendelstein 7-X magnetic confinement experiment, a reduction of turbulent density fluctuations as well as anomalous impurity diffusion is associated with a peaking of the pl…
First Results from an Event Synchronized -- High Repetition Thomson Scattering System at Wendelstein 7-X
Hannes Damm, Ekkehard Pasch, Andreas Dinklage +16
The Wendelstein 7-X (W7-X) Thomson scattering (TS) diagnostic was upgraded to transiently achieve kilohertz sampling rates combined with adjustable measuring times. The existing Nd…