17 citations · 20 across the 4 of their papers we have counts for
4 papers
Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
Timo Thun, Rory Conlin, Dario Panici +1
Numerical computation of the ideal Magnetohydrodynamic (MHD) equilibrium magnetic field is at the base of stellarator optimisation and provides the starting point for solving more…
Improving ideal MHD equilibrium accuracy with physics-informed neural networks
Timo Thun, Andrea Merlo, Rory Conlin +2
We present a novel approach to compute three-dimensional Magnetohydrodynamic equilibria by parametrizing Fourier modes with artificial neural networks and compare it to equilibria…
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…
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…