U.S. Department of EnergyOffice of Scientific and Technical Information
Data for "Predictive modeling of NSTX discharges with the updated MULTI-MODE anomalous transport module"
- Authors:
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- Lehigh University; Princeton Plasma Physics Laboratory
- Lehigh University
- Chalmers University of Technology
- Princeton Plasma Physics Laboratory
- Publication Date:
- DOE Contract Number:
- AC02-09CH11466; SC0013977; SC0021385
- Research Org.:
- Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- Subject:
- Multi-Mode Model; NSTX-U; discharges
- OSTI Identifier:
- 2447769
- DOI:
- https://doi.org/10.34770/fkqv-1h59
Citation Formats
Rafiq, T., Wilson, C., Clauser, C., Schuster, E., Weiland, J., Anderson, J., Kaye, S. M., Pankin, A., LeBlanc, B. P., and Bell, R. E. Data for "Predictive modeling of NSTX discharges with the updated MULTI-MODE anomalous transport module". United States: N. p., 2023.
Web. doi:10.34770/fkqv-1h59.
Rafiq, T., Wilson, C., Clauser, C., Schuster, E., Weiland, J., Anderson, J., Kaye, S. M., Pankin, A., LeBlanc, B. P., & Bell, R. E. Data for "Predictive modeling of NSTX discharges with the updated MULTI-MODE anomalous transport module". United States. doi:https://doi.org/10.34770/fkqv-1h59
Rafiq, T., Wilson, C., Clauser, C., Schuster, E., Weiland, J., Anderson, J., Kaye, S. M., Pankin, A., LeBlanc, B. P., and Bell, R. E. 2023.
"Data for "Predictive modeling of NSTX discharges with the updated MULTI-MODE anomalous transport module"". United States. doi:https://doi.org/10.34770/fkqv-1h59. https://www.osti.gov/servlets/purl/2447769. Pub date:Sun Dec 31 23:00:00 EST 2023
@article{osti_2447769,
title = {Data for "Predictive modeling of NSTX discharges with the updated MULTI-MODE anomalous transport module"},
author = {Rafiq, T. and Wilson, C. and Clauser, C. and Schuster, E. and Weiland, J. and Anderson, J. and Kaye, S. M. and Pankin, A. and LeBlanc, B. P. and Bell, R. E.},
abstractNote = {},
doi = {10.34770/fkqv-1h59},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 23:00:00 EST 2023},
month = {Sun Dec 31 23:00:00 EST 2023}
}
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