Litcius/Paper detail

Balancing data for generalizable machine learning to predict glass-forming ability of ternary alloys

Yi Yao, Timothy Sullivan, Feng Yan, Jiaqi Gong, Lin Li

2021Scripta Materialia35 citationsDOI

Topics & Concepts

OverfittingGeneralizability theoryMachine learningArtificial intelligenceFidelityArtificial neural networkTernary operationComputer scienceExperimental dataMaterials informaticsData miningMedicineStatisticsPublic healthEngineering informaticsHealth informaticsNursingMathematicsTelecommunicationsProgramming languageMachine Learning in Materials ScienceMetallurgical Processes and ThermodynamicsMetallic Glasses and Amorphous Alloys
Balancing data for generalizable machine learning to predict glass-forming ability of ternary alloys | Litcius