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...

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Detalles Bibliográficos
Autores principales: Mamun, Osman, Wenzlick, Madison, Hawk, Jeffrey, Devanathan, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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