Search Results for author:
Found 2 papers, 0 papers with code
Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
Next generation high performance (HP) tokamaks risk damage from unmitigated disruptions at high current and power.
Hybrid deep learning architecture for general disruption prediction across tokamaks
In this paper, we present a new deep learning disruption prediction algorithm based on important findings from explorative data analysis which effectively allows knowledge transfer from existing devices to new ones, thereby predicting disruptions using very limited disruptive data from the new devices.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
