Prediction of magnetocaloric properties of Fe-based amorphous alloys based on interpretable machine learning
Chengcheng Liu, Xuandong Wang, Weidong Cai, Hang Su
Topics & Concepts
Machine learningArtificial intelligenceAmorphous solidTest setMean squared errorAmorphous metalMean absolute percentage errorIsothermal processMagnetic refrigerationFeature selectionComputer scienceMaterials scienceAlgorithmMathematicsAlloyArtificial neural networkMagnetic fieldThermodynamicsStatisticsMetallurgyPhysicsChemistryMagnetizationQuantum mechanicsOrganic chemistryMachine Learning in Materials ScienceMagnetic and transport properties of perovskites and related materialsHigh Entropy Alloys Studies