Disruption prediction with artificial intelligence techniques in tokamak plasmas
J Vega, A Murari, S Dormido-Canto, GA Rattá… - Nature Physics, 2022 - nature.com
In nuclear fusion reactors, plasmas are heated to very high temperatures of more than 100
million kelvin and, in so-called tokamaks, they are confined by magnetic fields in the shape …
million kelvin and, in so-called tokamaks, they are confined by magnetic fields in the shape …
Disruption prediction for future tokamaks using parameter-based transfer learning
W Zheng, F Xue, Z Chen, D Chen, B Guo… - Communications …, 2023 - nature.com
Tokamaks are the most promising way for nuclear fusion reactors. Disruption in tokamaks is
a violent event that terminates a confined plasma and causes unacceptable damage to the …
a violent event that terminates a confined plasma and causes unacceptable damage to the …
A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors
The objective of thermonuclear fusion consists of producing electricity from the coalescence
of light nuclei in high temperature plasmas. The most promising route to fusion envisages …
of light nuclei in high temperature plasmas. The most promising route to fusion envisages …
A systematic investigation of radiation collapse for disruption avoidance and prevention on JET tokamak
To produce fusion reactions efficiently, thermonuclear plasmas have to reach extremely high
temperatures, which is incompatible with their coming into contact with material surfaces …
temperatures, which is incompatible with their coming into contact with material surfaces …
IDP-PGFE: an interpretable disruption predictor based on physics-guided feature extraction
Disruption prediction has made rapid progress in recent years, especially in machine
learning (ML)-based methods. If a disruption prediction model can be interpreted, it can tell …
learning (ML)-based methods. If a disruption prediction model can be interpreted, it can tell …
Real-time and adaptive reservoir computing with application to profile prediction in fusion plasma
Nuclear fusion is a promising alternative to address the problem of sustainable energy
production. The tokamak is an approach to fusion based on magnetic plasma confinement …
production. The tokamak is an approach to fusion based on magnetic plasma confinement …
Stacking of predictors for the automatic classification of disruption types to optimize the control logic
Nowadays, disruption predictors, based on machine learning techniques, can perform well
but they typically do not provide any information about the type of disruption and cannot …
but they typically do not provide any information about the type of disruption and cannot …
PHAD: a phase-oriented disruption prediction strategy for avoidance, prevention, and mitigation in JET
The ideal operational scenario for the future tokamak reactor is disruption-free operation.
However, so far all the experimental evidence indicates that disruptions are unavoidable …
However, so far all the experimental evidence indicates that disruptions are unavoidable …
Development of robust indicators for the identification of electron temperature profile anomalies and application to JET
Recent experience with metallic devices operating in ITER relevant regions of the
operational space, has shown that the disruptivity of these plasmas is unacceptably high …
operational space, has shown that the disruptivity of these plasmas is unacceptably high …
[PDF][PDF] Termination of discharges in high performance scenarios in JET
• The termination of high performance plasmas in tokamak devices with high Z metal plasma
facing components presents challenges related to the influx of heavy impurities which, if not …
facing components presents challenges related to the influx of heavy impurities which, if not …