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Prediction of mechanical properties of high-entropy ceramics by deep learning with compositional descriptors

Chunghee Nam

2023Materials Today Communications20 citationsDOI

Topics & Concepts

Materials scienceCeramicArtificial neural networkMean squared errorConvolutional neural networkCoefficient of determinationThermodynamicsEntropy (arrow of time)MathematicsMachine learningMetallurgyComputer scienceStatisticsPhysicsAdvanced materials and compositesHigh Entropy Alloys StudiesMetal and Thin Film Mechanics
Prediction of mechanical properties of high-entropy ceramics by deep learning with compositional descriptors | Litcius