首页|Towards accurate processing-structure-property links using deep learning
Towards accurate processing-structure-property links using deep learning
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NSTL
Elsevier
? 2021 Acta Materialia Inc.Establishing links between the processing, the microstructure and the properties of steel is of utmost importance for rational material design. Including information from the microstructure proves difficult as it requires quantifying the visual information included in microscopy images. The increasing performance of deep learning models in computer vision offers great potential in this regard. Herein, we investigate how features from deep learning models can help us to predict information about the hardness and the composition based on SEM images for a set of complex martensitic steels.
Larmuseau M.、Cottenier S.、Dhaene T.、Theuwissen K.、Lejaeghere K.、Duprez L.
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Center for Molecular Modeling Ghent University
IDLab Department of Information Technology Ghent University - IMEC
NSTL
Elsevier
