Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations
- Authors:
-
- Princeton Plasma Physics Laboratory
- Publication Date:
- DOE Contract Number:
- SC0018623
- Research Org.:
- Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1888266
- DOI:
- https://doi.org/10.11578/1888266
Citation Formats
Piccione, Andrea, Sabbagh, Steven, and Andreopoulos, Yiannis. Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations. United States: N. p., 2021.
Web. doi:10.11578/1888266.
Piccione, Andrea, Sabbagh, Steven, & Andreopoulos, Yiannis. Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations. United States. doi:https://doi.org/10.11578/1888266
Piccione, Andrea, Sabbagh, Steven, and Andreopoulos, Yiannis. 2021.
"Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations". United States. doi:https://doi.org/10.11578/1888266. https://www.osti.gov/servlets/purl/1888266. Pub date:Tue Dec 07 04:00:00 UTC 2021
@article{osti_1888266,
title = {Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations},
author = {Piccione, Andrea and Sabbagh, Steven and Andreopoulos, Yiannis},
abstractNote = {},
doi = {10.11578/1888266},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 07 04:00:00 UTC 2021},
month = {Tue Dec 07 04:00:00 UTC 2021}
}
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