Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy
Poornima Hulipalled, Veerabhadrappa Algur, V. Lokesha, Sunil Saumya, Satyanarayan
Topics & Concepts
Gradient boostingAlloyRandom forestMicrostructureBoosting (machine learning)Ensemble learningMaterials scienceTribologyManganeseMetallurgyMachine learningArtificial intelligenceComputer scienceAluminum Alloys Composites PropertiesMagnesium Alloys: Properties and ApplicationsMXene and MAX Phase Materials