Can Convolutional Neural Networks be trained on EBSD data to classify phase transformation products in Steels?

Authors :: Martinez Ostormujof, T
Purushottam Raj Purohit , RRP
Gey, Nathalie
Salib, M
Germain, L
Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3)
Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)
Labex DAMAS
Université de Lorraine (UL)
ArcelorMittal Maizières Research SA
ArcelorMittal
RMS
Source :: virtual EBSD 2021, virtual EBSD 2021, RMS, Apr 2021, Sheffield, United Kingdom
Publication Year :: 2021
Publisher :: HAL CCSD, 2021.
Abstract: International audience

Subjects :: [SPI]Engineering Sciences [physics]
ComputingMilieux_MISCELLANEOUS

Language :: English
Database :: OpenAIRE
Journal :: virtual EBSD 2021, virtual EBSD 2021, RMS, Apr 2021, Sheffield, United Kingdom
Accession number :: edsair.dedup.wf.001..e529447001d02ca03ab9564a7d0a4a8c

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