A deep learning approach for complex microstructure inference

Segmentation and classification of microstructures are required by quality control and materials development. The authors apply deep learning for the segmentation of complex phase steel microstructures, providing a bridge between experimental and computational methods for materials analysis.

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Autores principales: Ali Riza Durmaz, Martin Müller, Bo Lei, Akhil Thomas, Dominik Britz, Elizabeth A. Holm, Chris Eberl, Frank Mücklich, Peter Gumbsch
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/63e5e4b34b434b15a778aed27ab99f3f
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