Phase prediction and experimental realisation of a new high entropy alloy using machine learning
Phase prediction and experimental realisation of a new high entropy alloy using machine learning
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Nearly ~ 10
8
types of High entropy alloys (HEAs) can be developed from about 64 elements in the periodic table. A major challenge for materials scientists and metallurgists at this stage is to predict their crystal structure and, therefore, their mechanical properties to reduce experimental efforts, which are energy and time intensive. Throu...
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Phase prediction and experimental realisation of a new high entropy alloy using machine learning
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TN_cdi_doaj_primary_oai_doaj_org_article_43ed6e44a243495da8a0aff48d152d1a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_43ed6e44a243495da8a0aff48d152d1a
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-31461-7
