Application of machine learning to spectroscopic line emission by hydrogen isotopes in fusion devices for isotopic ratio determination and prediction
- DOI
- 10.1140/epjd/s10053-023-00719-0
- Published
- 2023-07-14
- Container
- The European Physical Journal D : Atomic, molecular, optical and plasma physics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1140/epjd/s10053-023-00719-0,
title = {Application of machine learning to spectroscopic line emission by hydrogen isotopes in fusion devices for isotopic ratio determination and prediction},
author = {M. Koubiti},
year = {2023},
journal = {The European Physical Journal D : Atomic, molecular, optical and plasma physics},
doi = {10.1140/epjd/s10053-023-00719-0},
url = {https://doi.org/10.1140/epjd/s10053-023-00719-0}
}RIS
TY - JOUR TI - Application of machine learning to spectroscopic line emission by hydrogen isotopes in fusion devices for isotopic ratio determination and prediction AU - M. Koubiti PY - 2023 JO - The European Physical Journal D : Atomic, molecular, optical and plasma physics DO - 10.1140/epjd/s10053-023-00719-0 UR - https://doi.org/10.1140/epjd/s10053-023-00719-0 ER -
APA
Koubiti, M. (2023). Application of machine learning to spectroscopic line emission by hydrogen isotopes in fusion devices for isotopic ratio determination and prediction. The European Physical Journal D : Atomic, molecular, optical and plasma physics. https://doi.org/10.1140/epjd/s10053-023-00719-0
Source records
- hal · retrieved 2026-09-26T04:30:17.152Z