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A machine learning aided interpretable model for rupture strength prediction in Fe-based martensitic and austenitic alloys
The class of 9–12% Cr ferritic-martensitic alloys (FMA) and austenitic stainless steels have received considerable attention due to their numerous applications in high temperature power generation industries. To design high strength steels with prolonged service life requires a thorough understandin...
| Autores principales: | , , , |
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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/PMC7943809/ https://www.ncbi.nlm.nih.gov/pubmed/33750812 http://dx.doi.org/10.1038/s41598-021-83694-z |