Implementation of deep learning-based segmentation for quantitative microstructure analysis and 3D reconstruction in aluminum alloys

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-23
DOI
https://doi.org/10.5281/zenodo.18740450
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Implementation of deep learning-based segmentation for quantitative microstructure analysis and 3D reconstruction in aluminum alloys

Angelos Theofilatos, Alexandre Viardin, Laszlo Sturz
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Implementation of deep learning-based segmentation for quantitative microstructure analysis and 3D reconstruction in aluminum alloys

Angelos Theofilatos, Alexandre Viardin, Laszlo Sturz
article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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