Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten

Retrieved on: 2025-01-04 23:42:05

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Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten. View article details on hiswai:

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... machine-learning interatomic potential, the temperature-dependent vacancy formation and migration Gibbs energies of the prototype system body ...

Article found on: www.nature.com