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: Emily Ford, Kailasnath Maneparambil, Narayanan Neithalath
Formato: article
Lenguaje:EN
Publicado: Pouyan Press 2021
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Acceso en línea:https://doaj.org/article/c79dd694882744c4a5afd8680a2948dc
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