Formation and propagation of cracks in RRP Nb3Sn wires studied by deep learning applied to x-ray tomography
ContributorsBagni, Tommaso; Mauro, Diego; Majkut, Marta; Rack, Alexander; Senatore, Carmine
Published inSuperconductor science and technology, vol. 35, no. 10, 104003
Publication date2022-09-06
First online date2022-09-06
Abstract
Keywords
- X-ray tomography
- Deep learning
- Neural network
- Cracks formation
- Mechanical limits
- Artificial intelligence
- Low temperature superconductors
Research group
Citation (ISO format)
BAGNI, Tommaso et al. Formation and propagation of cracks in RRP Nb<sub>3</sub>Sn wires studied by deep learning applied to x-ray tomography. In: Superconductor science and technology, 2022, vol. 35, n° 10, p. 104003. doi: 10.1088/1361-6668/ac86ac
Main files (1)
Article (Published version)
Identifiers
- PID : unige:163348
- DOI : 10.1088/1361-6668/ac86ac
ISSN of the journal0953-2048