An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data.
- DOI
- 10.1038/s41467-026-77250-4
- Published
- 2026 Aug 31
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-026-77250-4,
title = {An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data.},
author = {Hu Y and Wang H and Chen M and Chen G and Wang C and Guo B and Fu MW},
year = {2026},
journal = {Nature communications},
doi = {10.1038/s41467-026-77250-4},
url = {https://doi.org/10.1038/s41467-026-77250-4}
}RIS
TY - JOUR TI - An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data. AU - Hu Y AU - Wang H AU - Chen M AU - Chen G AU - Wang C AU - Guo B AU - Fu MW PY - 2026 JO - Nature communications DO - 10.1038/s41467-026-77250-4 UR - https://doi.org/10.1038/s41467-026-77250-4 ER -
APA
Y, H., H, W., M, C., G, C., C, W., B, G., & MW, F. (2026). An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data.. Nature communications. https://doi.org/10.1038/s41467-026-77250-4
Source records
- pubmed · retrieved 2026-11-10T14:26:50.294Z