Tokamak disruption prediction using different machine learning techniques

Joost Croonen, Jorge Amaya, Giovanni Lapenta

Disruption prediction and mitigation is of key importance in the development of sustainable tokamakreactors. Machine learning has become a key tool in this endeavour. In this paper…