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Prediction of phase and hardness of HEAs based on constituent elements using machine learning models

Mahmoud Bakr, Junaidi Syarif, Mohamed Hashem

2022Materials Today Communications39 citationsDOI

Topics & Concepts

Materials scienceArtificial neural networkPredictive modellingHigh entropy alloysPhase (matter)Training setRegression analysisMachine learningArtificial intelligenceMetallurgyMicrostructureComputer scienceOrganic chemistryChemistryHigh Entropy Alloys StudiesMetal and Thin Film MechanicsAdvanced materials and composites
Prediction of phase and hardness of HEAs based on constituent elements using machine learning models | Litcius