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Machine learning-accelerated CALPHAD analysis of impurity-driven intermetallic formation in secondary AlSi7Mg0.3

Published Online: 2026-03-16

Authors

Jarren, Lukas C.

Viardin, Alexandre

Gazenbiller, Eugen

Apel, Markus

Eiken, Janin

Li, Qiqi

Zheludkevich, Mikhail

Höche, Daniel
Funding

Funding for this research was provided by:

Bundesministerium für Wirtschaft und Energie (03LB3091A-F)
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Text and Data Mining valid from 2026-03-16

Version of Record valid from 2026-03-16
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Article History

Received: 17 October 2025

Accepted: 9 February 2026

First Online: 16 March 2026

Competing interests

: The authors declare no competing interests.

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