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Molecular dynamics simulation of threshold displacement energy and primary damage state in Niobium

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arxiv 1702.03598 v2 pith:YI3JH7AD submitted 2017-02-13 cond-mat.mtrl-sci

classification cond-mat.mtrl-sci
keywords defectspointweredisplacementworkcascadeefficiencyfound
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In this work, a many-body potential of Nb for radiation damage simulation was developed based on EAM, and most of the point defects of Nb can be predicted properly by this potential. By using the constructed potential, the direction-specific threshold displacement energies (TDE) and displacement cascades up to 20 keV of Nb were performed through molecular dynamics simulations. The calculated results of TDE are in good agreement with previous work for V, Mo and experimental measurements. Lowest TDE was found in <100> direction, and local minas of TDE were found in three low-index directions, which has relation: Ed[100]<Ed[111]<Ed[110]. The evolution of displacement cascades, number of the created point defects, the cascade efficiency the clustering of point defects, and temperature role of these parameters at different PKA energies were systematic investigated. It is found that the cascade efficiency is low and it is can be fitted by a power function as many published work did. The fraction of clustered point defects obtained in this work is low, and only some small clusters were formed at the end of thermal spike. As the temperature increases, the productions of point defects and cascade efficiency were somewhat decreases, however, the fraction of clustered point defects decreases more obvious.

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  1. A Robust Machine Learned Interatomic Potential for Nb: Collision Cascade Simulations with accurate Defect Configurations

    cond-mat.mtrl-sci 2025-02 conditional novelty 6.0 of 10

    A SNAP machine-learned potential for niobium reproduces the DFT-predicted ⟨111⟩ self-interstitial ground state and yields that orientation in 5 keV collision cascades, while EAM and FS potentials favor ⟨110⟩.

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