Sustainable ductile iron design: Leveraging machine learning and genetic algorithms for critical raw materials reduction

One of this century's key challenges is ensuring the supply of critical raw materials essential for economic stability. These materials face supply risks due to factors like scarcity, geopolitical instability in supplier countries, and lack of substitutes. The European Union maintains a list of...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 163; S. 113117
Hauptverfasser:	Ferro, P., Spiller, S., Tang, K., Berto, F., Bonollo, F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2026
Schlagworte:	Alloy optimization Cast iron Critical raw materials Genetic algorithm Machine learning Sustainable materials design Critical raw materials Alloy optimization Genetic algorithm Machine learning Cast iron Sustainable materials design
ISSN:	0952-1976
Online-Zugang:	Volltext
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