activity
20222024
most citedBayesian optimization of massive material injection for disruption mitigation in tokamaks

13 citations · 16 across the 5 of their papers we have counts for

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physics.plasm-ph2024

Reduced modeling of scrape-off losses of runaway electrons during tokamak disruptions

Oskar Vallhagen, Lise Hanebring, Tünde Fülöp +2

Accurate modeling of runaway electron generation and losses during tokamak disruptions is crucial for the development of reactor-scale tokamak devices. In this paper we present a r…

physics.plasm-ph20243 cited

First numerical analysis of runaway electron generation in tungsten-rich plasmas towards ITER

J. Walkowiak, M. Hoppe, I. Ekmark +7

The disruption and runaway electron analysis model code was extended to include tungsten impurities in disruption simulations with the aim of studying the runaway electron (RE) gen…

physics.plasm-ph2024

Runaway Electron Dynamics in ITER Disruptions with Shattered Pellet Injections

Oskar Vallhagen, Lise Hanebring, Javier Artola +6

This study systematically explores the parameter space of disruption mitigation through shattered pellet injection in ITER with a focus on runaway electron dynamics, using the disr…

physics.plasm-ph202313 cited

Bayesian optimization of massive material injection for disruption mitigation in tokamaks

Istvan Pusztai, Ida Ekmark, Hannes Bergström +5

A Bayesian optimization framework is used to investigate scenarios for disruptions mitigated with combined deuterium and neon injection in ITER. The optimization cost function take…

physics.plasm-ph2022

Bayesian approach for validation of runaway electron simulations

Aaro Järvinen, Tünde Fülöp, Eero Hirvijoki +3

Plasma-terminating disruptions in future fusion reactors may result in conversion of the initial current to a relativistic runaway electron beam. Validated predictive tools are req…