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Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys

Published Online: 2026-05-08

Published Print: 2026-06

Authors

Theofilatos, Angelos https://orcid.org/0000-0002-3693-8661
Viardin, Alexandre

Sturz, Laszlo
Funding

Funding for this research was provided by:

Bundesministerium für Wirtschaft und Klimaschutz (50WM2356A)

RWTH Aachen University
License Information

Text and Data Mining valid from 2026-05-08

Version of Record valid from 2026-05-08
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Article History

Received: 2 December 2025

Accepted: 14 April 2026

First Online: 8 May 2026

Declarations

:

: The authors declare that they have no conflicts of interest.

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