Diagnosing electron temperature using machine learning and neutral tungsten spectral emission
- DOI
- 10.1016/j.nme.2022.101304
- Published
- 2023-03
- Container
- Nuclear Materials and Energy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.nme.2022.101304,
title = {Diagnosing electron temperature using machine learning and neutral tungsten spectral emission},
author = {C.A. Johnson and E.A. Unterberg and D.A. Ennis and G.J. Hartwell and D.A. Maurer},
year = {2023},
journal = {Nuclear Materials and Energy},
doi = {10.1016/j.nme.2022.101304},
url = {https://doi.org/10.1016/j.nme.2022.101304}
}RIS
TY - JOUR TI - Diagnosing electron temperature using machine learning and neutral tungsten spectral emission AU - C.A. Johnson AU - E.A. Unterberg AU - D.A. Ennis AU - G.J. Hartwell AU - D.A. Maurer PY - 2023 JO - Nuclear Materials and Energy DO - 10.1016/j.nme.2022.101304 UR - https://doi.org/10.1016/j.nme.2022.101304 ER -
APA
Johnson, C., Unterberg, E., Ennis, D., Hartwell, G., & Maurer, D. (2023). Diagnosing electron temperature using machine learning and neutral tungsten spectral emission. Nuclear Materials and Energy. https://doi.org/10.1016/j.nme.2022.101304
Source records
- crossref · retrieved 2026-11-10T12:21:16.008Z