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Results 1-4 of 4
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Issue Date
Title
Author(s)
Dec-2019
Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX
Woods, B. J. Q.
;
Duarte, V. N.
;
Fredrickson, E. D.
;
Gorelenkov, N. N.
;
Podestà, M.
;
Vann, R. G. L.
May-2020
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
Mark D. Boyer
Dec-2019
Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX
Woods, B. J. Q.
;
Duarte, V. N.
;
Fredrickson, E. D.
;
Gorelenkov, N. N.
;
Podestà, M.
;
Vann, R. G. L.
Oct-2019
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices
Churchill, R.M
;
the DIII-D team
Discover
Author
2
Duarte, V. N.
2
Fredrickson, E. D.
2
Gorelenkov, N. N.
2
Podestà, M.
2
Vann, R. G. L.
2
Woods, B. J. Q.
1
Churchill, R.M
1
Mark D. Boyer
1
the DIII-D team
Subject
3
plasma physics
2
tokamak physics
1
convolutional neural networks
1
deep learning
1
ECEi
1
fusion
1
NSTX-U
1
NUBEAM
1
optimization
1
profile control
.
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Date issued
1
2020
3
2019