Optimal Design of the Austenitic Stainless-Steel Composition Based on Machine Learning and Genetic Algorithm

As the fourth paradigm of materials research and development, the materials genome paradigm can significantly improve the efficiency of research and development for austenitic stainless steel. In this study, by collecting experimental data of austenitic stainless steel, the chemical composition of a...

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Detalles Bibliográficos
Autores principales: Liu, Chengcheng, Wang, Xuandong, Cai, Weidong, Yang, Jiahui, Su, Hang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456822/
https://www.ncbi.nlm.nih.gov/pubmed/37629924
http://dx.doi.org/10.3390/ma16165633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456822/
https://www.ncbi.nlm.nih.gov/pubmed/37629924
http://dx.doi.org/10.3390/ma16165633

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