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 …
First-principles density limit scaling in tokamaks based on edge turbulent transport and implications for ITER
A first-principles scaling law, based on turbulent transport considerations, and a
multimachine database of density limit discharges from the ASDEX Upgrade, JET, and TCV …
multimachine database of density limit discharges from the ASDEX Upgrade, JET, and TCV …
Model for access and stability of the X-point radiator and the threshold for marfes in tokamak plasmas
Based on particle and energy balances, a reduced model is derived for the physical
mechanisms leading to the occurrence of stable and unstable X-point radiators (XPRs), the …
mechanisms leading to the occurrence of stable and unstable X-point radiators (XPRs), the …
[HTML][HTML] Development of a concept and basis for the DEMO diagnostic and control system
An initial concept for the plasma diagnostic and control (D&C) system has been developed
as part of European studies towards the development of a demonstration tokamak fusion …
as part of European studies towards the development of a demonstration tokamak fusion …
Progress in disruption prevention for ITER
EJ Strait, JL Barr, M Baruzzo, JW Berkery… - Nuclear …, 2019 - iopscience.iop.org
Key plasma physics and real-time control elements needed for robustly stable operation of
high fusion power discharges in ITER have been demonstrated in recent research …
high fusion power discharges in ITER have been demonstrated in recent research …
Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond
S Coda, M Agostini, R Albanese, S Alberti… - Nuclear …, 2019 - iopscience.iop.org
The research program of the TCV tokamak ranges from conventional to advanced-tokamak
scenarios and alternative divertor configurations, to exploratory plasmas driven by …
scenarios and alternative divertor configurations, to exploratory plasmas driven by …
Hybrid deep-learning architecture for general disruption prediction across multiple 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 …
important findings from explorative data analysis which effectively allows knowledge transfer …
A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET
The need for predictive capabilities greater than 95% with very limited false alarms are
demanding requirements for reliable disruption prediction systems in tokamaks such as JET …
demanding requirements for reliable disruption prediction systems in tokamaks such as JET …
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 …
Analysis and expansion of the quasi-continuous exhaust (QCE) regime in ASDEX Upgrade
The quasi-continuous exhaust (QCE) regime, formerly known as either type-II ELM or small
ELM regime is studied in ASDEX Upgrade. The regime is a natural type-I ELM-free H-mode …
ELM regime is studied in ASDEX Upgrade. The regime is a natural type-I ELM-free H-mode …