Bayesian optimization of fusion experiment simulations
March 12, 2023
Late February the paper "Bayesian optimization of massive material injection for disruption mitigation in tokamaks" was accepted for publication in the Journal of Plasma Physics. The preprint is available on arXiv.
The paper describes the "landscape" of how two control parameters (injected amounts of neon and deuterium) affect four objectives related to the physical processes of a disruption event in a tokamak fusion experiment (when simulated with DREAM = Disruption and Runaway Electron Analysis Model).