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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...
Autores principales: | Bagni, T., Bovone, G., Rack, A., Mauro, D., Barth, C., Matera, D., Buta, F., Senatore, C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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