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Conference papers

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

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Conference papers
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https://hal.univ-lorraine.fr/hal-03611998
Contributor : Lionel Germain Connect in order to contact the contributor
Submitted on : Thursday, March 17, 2022 - 2:37:31 PM
Last modification on : Friday, March 18, 2022 - 3:35:45 AM

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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 2011, Anaheim, California, United States. ⟨hal-03611998⟩

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