33 citations · 68 across the 7 of their papers we have counts for
7 papers
Modeling the effect of MHD activity on runaway electron generation during SPARC disruptions
R Datta, C Clauser, N Ferraro +2
Magnetohydrodynamic (MHD) instabilities and runaway electrons (REs) interact in several ways, making it important to self-consistently model these interactions for accurate predict…
Gauss' Separation Algorithm for the Magnetic Field Decomposition of the SPARC PRD simulation
Gregorio L Trevisan, Ryan M Sweeney, Robert S Granetz
A magnetic separation algorithm originally introduced by Gauss has been revisited in recent years with application to magnetically-confined fusion experiments. The main result offe…
ThinCurr: An open-source 3D thin-wall eddy current modeling code for the analysis of large-scale systems of conducting structures
Christopher Hansen, Alexander Battey, Anson Braun +5
In this paper we present a new thin-wall eddy current modeling code, ThinCurr, for studying inductively-coupled currents in 3D conducting structures -- with primary application foc…
Design of Passive and Structural Conductors for Tokamaks Using Thin-Wall Eddy Current Modeling
A. F. Battey, C. Hansen, D. Garnier +5
A new three-dimensional electromagnetic modeling tool ThinCurr has been developed using the existing PSI-Tet finite-element code in support of conducting structure design work for…
Modeling the complete prevention of disruption-generated runaway electron beam formation with a passive 3D coil in SPARC
RA Tinguely, VA Izzo, DT Garnier +8
The potential formation of multi-mega-ampere beams of relativistic "runaway" electrons (REs) during sudden terminations of tokamak plasmas poses a significant challenge to the toka…
Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
J. Zhu, C. Rea, R. S. Granetz +10
Next generation high performance (HP) tokamaks risk damage from unmitigated disruptions at high current and power. Achieving reliable disruption prediction for a device's HP operat…
An application of survival analysis to disruption prediction via Random Forests
R. A. Tinguely, K. J. Montes, C. Rea +2
One of the most pressing challenges facing the fusion community is adequately mitigating or, even better, avoiding disruptions of tokamak plasmas. However, before this can be done,…