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Machine learning assisted hierarchical filtering: a strategy for designing magnets with large moment and anisotropy energy

Arijit Dutta, Prasenjit Sen

2022Journal of Materials Chemistry C14 citationsDOI

Abstract

Machine learning models are developed to hierarchically screen materials so that the ones with large magnetization and magnetic anisotropy energy are selected.

Topics & Concepts

AnisotropyMaterials scienceMagnetMagnetic anisotropyAnisotropy energyMoment (physics)MagnetizationEnergy (signal processing)Condensed matter physicsMagnetic momentEngineering physicsMechanical engineeringMagnetic fieldPhysicsOpticsEngineeringClassical mechanicsQuantum mechanicsMachine Learning in Materials ScienceMagnetic properties of thin filmsMagnetic and transport properties of perovskites and related materials
Machine learning assisted hierarchical filtering: a strategy for designing magnets with large moment and anisotropy energy | Litcius