Litcius/Paper detail

Key feature space for predicting the glass-forming ability of amorphous alloys revealed by gradient boosted decision trees model

X.W. Liu, Zhilin Long, W. Zhang, Yang Li

2022Journal of Alloys and Compounds49 citationsDOI

Topics & Concepts

Mean squared errorAmorphous metalElectronegativityComputer scienceHyperparameter optimizationSquare rootAmorphous solidRoot mean squareMathematicsMaterials scienceStatistical physicsThermodynamicsStatisticsChemistryArtificial intelligencePhysicsSupport vector machineCrystallographyOrganic chemistryQuantum mechanicsGeometryMetallic Glasses and Amorphous AlloysGlass properties and applicationsPhase-change materials and chalcogenides
Key feature space for predicting the glass-forming ability of amorphous alloys revealed by gradient boosted decision trees model | Litcius