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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 …
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 …
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 …
Disruption prediction on EAST tokamak using a deep learning algorithm
BH Guo, DL Chen, B Shen, C Rea… - Plasma Physics and …, 2021 - iopscience.iop.org
In this study, a long short-term memory (LSTM) model is trained on a large disruption
warning database to predict the disruption on EAST tokomak. To compare the performance …
warning database to predict the disruption on EAST tokomak. To compare the performance …
All superconducting tokamak: EAST
J Hu, W **, J Zhang, L Huang, D Yao, Q Zang, Y Hu… - AAPPS Bulletin, 2023 - Springer
Abstract Experimental Advanced Superconducting Tokamak (EAST) was built to
demonstrate high-power, long-pulse operations under fusion-relevant conditions, with major …
demonstrate high-power, long-pulse operations under fusion-relevant conditions, with major …
Real-time prediction of high-density EAST disruptions using random forest
WH Hu, C Rea, QP Yuan, KG Erickson, DL Chen… - Nuclear …, 2021 - iopscience.iop.org
A real-time disruption predictor using random forest was developed for high-density
disruptions and used in the plasma control system (PCS) of the EAST tokamak for the first …
disruptions and used in the plasma control system (PCS) of the EAST tokamak for the first …
Disruption prediction on EAST with different wall conditions based on a multi-scale deep hybrid neural network
BH Guo, DL Chen, C Rea, MQ Wu, B Shen… - Nuclear …, 2023 - iopscience.iop.org
Plasma disruption is a very dangerous event for future tokamaks and fusion reactors.
Therefore, predicting disruption is crucial for ensuring the safety and performance of …
Therefore, predicting disruption is crucial for ensuring the safety and performance of …
Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks
Modern tokamaks have achieved significant fusion production, but further progress towards
steady-state operation has been stymied by a host of kinetic and MHD instabilities. Control …
steady-state operation has been stymied by a host of kinetic and MHD instabilities. Control …
Performance comparison of machine learning disruption predictors at JET
E Aymerich, B Cannas, F Pisano, G Sias, C Sozzi… - Applied Sciences, 2023 - mdpi.com
Reliable disruption prediction (DP) and disruption mitigation systems are considered
unavoidable during international thermonuclear experimental reactor (ITER) operations and …
unavoidable during international thermonuclear experimental reactor (ITER) operations and …
Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time
J Vega, S Dormido-Canto, R Castro… - Nuclear …, 2024 - iopscience.iop.org
This article describes the use of privileged information to train supervised classifiers, applied
for the first time to the prediction of disruptions in tokamaks. The objective consists of making …
for the first time to the prediction of disruptions in tokamaks. The objective consists of making …