Martensite Start Temperature Prediction through a Deep Learning Strategy Using Both Microstructure Images and Composition Data

In recent decades, various previous research has established empirical formulae or thermodynamic models for martensite start temperature (Ms) prediction. However, most of this research has mainly considered the effect of composition and ignored complex microstructural factors, such as morphology, th...

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Detalles Bibliográficos
Autores principales: Yang, Zenan, Li, Yong, Wei, Xiaolu, Wang, Xu, Wang, Chenchong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917892/
https://www.ncbi.nlm.nih.gov/pubmed/36769939
http://dx.doi.org/10.3390/ma16030932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917892/
https://www.ncbi.nlm.nih.gov/pubmed/36769939
http://dx.doi.org/10.3390/ma16030932

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