14 citations · 39 across the 4 of their papers we have counts for
4 papers · 1 filter
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Fauzan Nazranda Rizqan, Matthew Hole, Charles Gretton
Our contributions are motivated by fusion reactors that rely on maintaining magnetohydrodynamic (MHD) equilibrium, where the balance between plasma pressure and confining magnetic…
Recent Developments in Bayesian Inference of Tokamak Plasma Equilibria and High-Dimensional Stochastic Quadratures
G. T. von Nessi, M. J. Hole
We present recent results and technical breakthroughs for the Bayesian inference of tokamak equilibria using force-balance as a prior constraint. Issues surrounding model parameter…
Ideal MHD theory of low-frequency Alfven waves in the H-1 Heliac
Jason Bertram, Boyd Blackwell, Matthew Hole
A part analytical, part numerical ideal MHD analysis of low-frequency Alfven wave physics in the H-1 stellarator is given. The three-dimensional, compressible ideal spectrum for H-…
Model Data Fusion: developing Bayesian inversion to constrain equilibrium and mode structure
M. J. Hole, G. von Nessi, J. Bertram +5
Recently, a new probabilistic "data fusion" framework based on Bayesian principles has been developed on JET and W7-AS. The Bayesian analysis framework folds in uncertainties and i…