Leveraging EBSD data for phase transformation product quantification in low carbon steels by deep learning - Université de Lorraine Access content directly
Conference Papers Year : 2022

Leveraging EBSD data for phase transformation product quantification in low carbon steels by deep learning

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hal-03611998 , version 1 (17-03-2022)

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  • HAL Id : hal-03611998 , version 1

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S. Breumier, T Martinez Ostormujof, Nathalie Gey, L Germain, Bianca Frincu, et al.. Leveraging EBSD data for phase transformation product quantification in low carbon steels by deep learning. TMS 2022, Feb 2022, Anaheim, California, United States. ⟨hal-03611998⟩
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