1. Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations Author(s): Piccione, Andrea; Sabbagh, Steven; Andreopoulos, Yiannis Type: Dataset Issue Date: 2021
2. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models Author(s): Boyer, Mark D. Type: Dataset Issue Date: 2020
3. Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices Author(s): Churchill, R. M.; Tobias, B.; Zhu, Y. Type: Dataset Issue Date: 2019
4. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX Author(s): Woods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podesta, M.; Vann, R. G. L. Type: Dataset Issue Date: 2019
5. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX Author(s): Woods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L. Type: Dataset Issue Date: 2019
