TB
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Influence of the heat treatment on the layer JC of internal-Sn Nb3Sn wires with internally oxidized nanoparticles | IEEE transactions on applied superconductivity | 2024 | 211 | 324 | |||
| Investigating the effect of rolling deformation on the electro-mechanical limits of Nb3Sn wires produced by RRP® and PIT technologies | Superconductor science and technology | 2024 | 144 | 68 | |||
| REBCO tapes for applications in ultra-high fields: critical current surface and scaling relations | Superconductor science and technology | 2024 | 228 | 532 | |||
| Degradation of Ic due to residual stress in high-performance Nb3Sn wires submitted to compressive transverse force | Superconductor science and technology | 2023 | 221 | 212 | |||
| Effects of the oxygen source configuration on the superconducting properties of internally-oxidized internal-Sn Nb3Sn wires | Superconductor science and technology | 2023 | 213 | 320 | |||
| Roadmap on artificial intelligence and big data techniques for superconductivity | Superconductor science and technology | 2023 | 268 | 190 | |||
| Impact of deoxygenation/reoxygenation processes on the superconducting properties of commercial coated conductors | Scientific reports | 2023 | 209 | 110 | |||
| Tomography analysis tool: an application for image analysis based on unsupervised machine learning | IOP SciNotes | 2022 | 336 | 163 | |||
| Formation and propagation of cracks in RRP Nb3Sn wires studied by deep learning applied to x-ray tomography | Superconductor science and technology | 2022 | 321 | 237 | |||
| Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires | Scientific Reports | 2021 | 385 | 206 | |||
| Effects of the initial axial strain state on the response to transverse stress of high-performance RRP Nb3Sn wires | Superconductor Science and Technology | 2021 | 437 | 173 |
