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DCLF: A divide-and-conquer learning framework for the predictions of steel hardness using multiple alloy datasets

Feng Yan, Kai Song, Liang Gao, Wei Xuejun

2022Materials Today Communications12 citationsDOI

Topics & Concepts

Materials scienceAlloyCluster analysisProcess (computing)Machine learningArtificial intelligenceComputer scienceMetallurgyOperating systemHydrogen embrittlement and corrosion behaviors in metalsCorrosion Behavior and InhibitionMachine Learning in Materials Science
DCLF: A divide-and-conquer learning framework for the predictions of steel hardness using multiple alloy datasets | Litcius