Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules
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 multic...
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Veröffentlicht in: | npj computational materials 2020-05, Vol.6 (1), Article 50 |
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