Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothe...
Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The empirical rules for the prediction of solid solution formation proposed so far in the literature usually have very compromised predictability. Some rules with seemingly good predictability were, however, tested using small data sets. Based on an unprecedented large dataset containing 1252 multicomponent alloys, machine-learning methods showed t...
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Full title
Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules
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TN_cdi_osti_scitechconnect_1617776
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_osti_scitechconnect_1617776
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ISSN
2057-3960
E-ISSN
2057-3960
DOI
10.1038/s41524-020-0308-7
