ST40 electromagnetic predictive studies supported by machine learning applied to experimental database.

Scarpari M, Minucci S, Sias G, Lombroni R, Buxton PF, Romanelli M, Calabrò G

DOI: 10.1038/s41598-024-75798-z
Published: 2024 Nov 7
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-75798-z,
  title = {ST40 electromagnetic predictive studies supported by machine learning applied to experimental database.},
  author = {Scarpari M and Minucci S and Sias G and Lombroni R and Buxton PF and Romanelli M and Calabrò G},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-75798-z},
  url = {https://doi.org/10.1038/s41598-024-75798-z}
}

RIS

TY  - JOUR
TI  - ST40 electromagnetic predictive studies supported by machine learning applied to experimental database.
AU  - Scarpari M
AU  - Minucci S
AU  - Sias G
AU  - Lombroni R
AU  - Buxton PF
AU  - Romanelli M
AU  - Calabrò G
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-75798-z
UR  - https://doi.org/10.1038/s41598-024-75798-z
ER  -

APA

M, S., S, M., G, S., R, L., PF, B., M, R., & G, C. (2024). ST40 electromagnetic predictive studies supported by machine learning applied to experimental database.. Scientific reports. https://doi.org/10.1038/s41598-024-75798-z

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pubmed · retrieved 2026-09-25T19:32:19.731Z