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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Vydané v:	Engineering applications of artificial intelligence Ročník 163; s. 113117
Hlavní autori:	Ferro, P., Spiller, S., Tang, K., Berto, F., Bonollo, F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2026
Predmet:	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
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