Litcius/Paper detail

Supervised machine learning-based multi-class phase prediction in high-entropy alloys using robust databases

Ángelo Oñate, Juan Pablo Sanhueza, Diabb Zegpi, Víctor Tuninetti, Jesús Ramírez, Carlos Medina, Manuel Meléndrez, D. Rojas

2023Journal of Alloys and Compounds46 citationsDOI

Topics & Concepts

IntermetallicRandom forestArtificial intelligenceMachine learningGradient boostingSupport vector machineMaterials scienceBoosting (machine learning)Computer scienceMetallurgyAlloyHigh Entropy Alloys StudiesAdditive Manufacturing Materials and ProcessesHigh-Temperature Coating Behaviors