Machine Learning on Microstructural Chemical Maps to Classify Component Phases in Cement Pastes
This paper implements machine learning (ML) classification algorithms on microstructural chemical maps to predict the constituent phases. Intensities of chemical species (Ca, Al, Si, etc.), and in some cases the nanomechanical properties measured at the corresponding points, form the input to the ML...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Pouyan Press
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c79dd694882744c4a5afd8680a2948dc |
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