Progress Toward Interpretable Machine Learning-Based Disruption Predictors Across Tokamaks

Assessment of controllers and scenario control performance for ITER first plasma

(2019) Michael L. Walker et al.   FUSION ENGINEERING AND DESIGN

Predicting disruptive instabilities in controlled fusion plasmas through deep learning

(2019) Julian Kates-Harbeck et al.   NATURE

Progress in disruption prevention for ITER

(2019) E J Strait et al.   NUCLEAR FUSION

Machine learning for disruption warning on Alcator C-Mod, DIII-D, and EAST

(2019) Kevin Joseph Montes et al.   NUCLEAR FUSION

Direct measurements of internal structures of born-locked modes and the key role in triggering tokamak disruptions

(2019) X. D. Du et al.   PHYSICS OF PLASMAS

A Machine Learning approach based on Generative topographic mapping for disruption prevention and avoidance at JET

(2019) Alessandro Pau et al.   NUCLEAR FUSION

A real-time machine learning-based disruption predictor in DIII-D

(2019) C. Rea et al.   NUCLEAR FUSION

Tokamak-agnostic actuator management for multi-task integrated control with application to TCV and ITER

(2019) N.M. Trang Vu et al.   FUSION ENGINEERING AND DESIGN

Deep Learning for Plasma Tomography and Disruption Prediction From Bolometer Data

(2019) Diogo R. Ferreira et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Exploratory Machine Learning Studies for Disruption Prediction Using Large Databases on DIII-D

(2018) Cristina Rea et al.   FUSION SCIENCE AND TECHNOLOGY

A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance

(2018) A. Pau et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

A reduced resistive wall mode kinetic stability model for disruption forecasting

(2017) J. W. Berkery et al.   PHYSICS OF PLASMAS

Statistical analysis ofm/n  =  2/1 locked and quasi-stationary modes with rotating precursors at DIII-D

(2016) R. Sweeney et al.   NUCLEAR FUSION

Scaling of the MHD perturbation amplitude required to trigger a disruption and predictions for ITER

(2015) P.C. de Vries et al.   NUCLEAR FUSION

Integrated modeling applications for tokamak experiments with OMFIT

(2015) O. Meneghini 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

The impact of the ITER-like wall at JET on disruptions

(2012) P C de Vries et al.   PLASMA PHYSICS AND CONTROLLED 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

Thomson scattering diagnostic upgrade on DIII-D

(2010) D. M. Ponce-Marquez et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

Statistical analysis of disruptions in JET

(2009) P.C. de Vries et al.   NUCLEAR FUSION

ITER on the road to fusion energy

(2009) Kaname Ikeda   NUCLEAR FUSION