Publication | Open Access
Development of interatomic potential for Al–Tb alloys using a deep neural network learning method
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Citations
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References
2020
Year
Materials ScienceAluminium NitrideStructural PropertiesEngineeringPhysicsCorrosionInteratomic PotentialCondensed Matter PhysicsApplied PhysicsAlloy DesignAlloy PhaseFormation EnergiesDeep Neural NetworkCrystallographyCrystal Structure DesignAl–tb Crystals
The developed deep neural network (DNN) potential can describe the structural properties of the Al<sub>90</sub>Tb<sub>10</sub> liquid and the formation energies of Al–Tb crystals with the accuracy of <italic>ab initio</italic> calculations.
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