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Prediction of interstitial diffusion activation energies of nitrogen, oxygen, boron and carbon in bcc, fcc, and hcp metals using machine learning

Materials ScienceEngineeringMachine LearningDiffusion ResistanceOxidation ResistanceNatural SciencesMaterial SimulationApplied PhysicsMetallurgical InteractionPhysical ChemistryComputational ChemistryElemental MetalQuantum ChemistryChemistryHcp MetalsChemical Kinetics