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Title
Machine learning control for disruption and tearing mode avoidance
Authors
Keywords
-
Journal
PHYSICS OF PLASMAS
Volume 27, Issue 2, Pages 022501
Publisher
AIP Publishing
Online
2020-02-04
DOI
10.1063/1.5125581
References
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Related references
Note: Only part of the references are listed.- Predicting disruptive instabilities in controlled fusion plasmas through deep learning
- (2019) Julian Kates-Harbeck et al. NATURE
- Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe
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- Disruption prediction investigations using Machine Learning tools on DIII-D and Alcator C-Mod
- (2018) C Rea et al. PLASMA PHYSICS AND CONTROLLED FUSION
- Multi-machine analysis of termination scenarios with comparison to simulations of controlled shutdown of ITER discharges
- (2017) P.C. de Vries et al. NUCLEAR FUSION
- A reduced resistive wall mode kinetic stability model for disruption forecasting
- (2017) J. W. Berkery et al. PHYSICS OF PLASMAS
- Requirements for Triggering the ITER Disruption Mitigation System
- (2016) P. C. de Vries et al. FUSION SCIENCE AND TECHNOLOGY
- Disruptions in ITER and strategies for their control and mitigation
- (2015) M. Lehnen et al. JOURNAL OF NUCLEAR MATERIALS
- Integrated modeling applications for tokamak experiments with OMFIT
- (2015) O. Meneghini et al. NUCLEAR FUSION
- Adaptive high learning rate probabilistic disruption predictors from scratch for the next generation of tokamaks
- (2014) J. Vega et al. NUCLEAR FUSION
- Results of the JET real-time disruption predictor in the ITER-like wall campaigns
- (2013) Jesús Vega et al. FUSION ENGINEERING AND DESIGN
- Detection of disruptions in the high-βspherical torus NSTX
- (2013) S.P. Gerhardt et al. NUCLEAR FUSION
- Optimized tokamak power exhaust with double radiative feedback in ASDEX Upgrade
- (2012) A. Kallenbach et al. NUCLEAR FUSION
- Theory of tokamak disruptions
- (2012) Allen H. Boozer PHYSICS OF PLASMAS
- Prediction of disruptions on ASDEX Upgrade using discriminant analysis
- (2011) Y. Zhang et al. NUCLEAR FUSION
- Survey of disruption causes at JET
- (2011) P.C. de Vries et al. NUCLEAR FUSION
- An advanced disruption predictor for JET tested in a simulated real-time environment
- (2010) G.A. Rattá et al. NUCLEAR FUSION
- Experimental simulation of ITER rampdown in DIII-D
- (2010) P.A. Politzer et al. NUCLEAR FUSION
- Unbiased and non-supervised learning methods for disruption prediction at JET
- (2009) A. Murari et al. NUCLEAR FUSION
- Disruption Avoidance in the Frascati Tokamak Upgrade by Means of Magnetohydrodynamic Mode Stabilization Using Electron-Cyclotron-Resonance Heating
- (2008) B. Esposito et al. PHYSICAL REVIEW LETTERS
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