Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb(3)Sn wires

The electro-mechanical and electro-thermal properties of high-performance Restacked-Rod-Process (RRP) Nb(3)Sn wires are key factors in the realization of compact magnets above 15 T for the future particle physics experiments. Combining X-ray micro-tomography with unsupervised machine learning algori...

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Detalles Bibliográficos
Autores principales: Bagni, T., Bovone, G., Rack, A., Mauro, D., Barth, C., Matera, D., Buta, F., Senatore, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032674/
https://www.ncbi.nlm.nih.gov/pubmed/33833396
http://dx.doi.org/10.1038/s41598-021-87475-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032674/
https://www.ncbi.nlm.nih.gov/pubmed/33833396
http://dx.doi.org/10.1038/s41598-021-87475-6

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