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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |