A machine-learning-based alloy design platform that enables both forward and inverse predictions for thermo-mechanically controlled processed (TMCP) steel alloys

Predicting mechanical properties such as yield strength (YS) and ultimate tensile strength (UTS) is an intricate undertaking in practice, notwithstanding a plethora of well-established theoretical and empirical models. A data-driven approach should be a fundamental exercise when making YS/UTS predic...

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Detalles Bibliográficos
Autores principales: Lee, Jin-Woong, Park, Chaewon, Do Lee, Byung, Park, Joonseo, Goo, Nam Hoon, Sohn, Kee-Sun
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/PMC8155048/
https://www.ncbi.nlm.nih.gov/pubmed/34040040
http://dx.doi.org/10.1038/s41598-021-90237-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155048/
https://www.ncbi.nlm.nih.gov/pubmed/34040040
http://dx.doi.org/10.1038/s41598-021-90237-z

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