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Molecular dynamics simulation on edge dislocation in the bulk and nanoparticles of iron AITranslate

Cooridnacion Programa de Investigación y Desarrollo de Ductos, Instituto Mexicano del Petróleo;Cooridnacion Programa de Investigación y Desarrollo de Ductos, Instituto Mexicano del Petróleo;Cooridnacion Programa de Investigación y Desarrollo de Ductos, Instituto Mexicano del Petróleo;Cooridnacion Programa de Investigación y Desarrollo de Ductos, Instituto Mexicano del Petróleo;Cooridnacion Programa de Investigación y Desarrollo de Ductos, Instituto Mexicano del Petróleo
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Publisher: Elsevier
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Abstract AITranslate

A series of molecular dynamics simulations using various deliberated boundary conditions have been performed by using N-body Finnis–Sinclair potential. Structure and energy of the a0 [1 0 0] edge-dislocation for both the bulk and nanoparticles of iron were investigated in detail. Further, many related behaviors were revealed, especially, dislocation motion activated by temperature, trapping effect of dislocation on vacancy, and critical minimum size of isolated crystal grain with a stable edge dislocation. Additionally, comparisons between elasticity theory and simulation were comprehensively performed in order to establish the relationship between atomistic and microscopic scales.

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DOI:https://doi.org/10.1016/S0927-0256(02)00465-2

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Citation Information:

A series of molecular dynamics simulations using various deliberated boundary conditions have been performed by using N-body Finnis–Sinclair potential. Structure and energy of the a0 [1 0 0] edge-dislocation for both the bulk and nanoparticles of iron were investigated in detail. Further, many related behaviors were revealed, especially, dislocation motion activated by temperature, trapping effect of dislocation on vacancy, and critical minimum size of isolated crystal grain with a stable edge dislocation. Additionally, comparisons between elasticity theory and simulation were comprehensively performed in order to establish the relationship between atomistic and microscopic scales.

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GB/T 7714-2015 [1] H.B Liu, G Canizal, S Jiménez, et al. Computational Materials Science, 2003(27). DOI:10.1016/S0927-0256(02)00465-2.
MLA [1] H.B Liu, et al., Computational Materials Science, no. 27, 2003, https://doi.org/10.1016/S0927-0256(02)00465-2.
APA [1] H.B Liu, G Canizal, S Jiménez, M.A EspinosaMedina, & J.A Ascencio. (2003). Computational Materials Science(27). https://doi.org/10.1016/S0927-0256(02)00465-2
IEEE [1] H.B Liu, G Canizal, S Jiménez, M.A EspinosaMedina, and J.A Ascencio, Computational Materials Science, no. 27, 2003, doi: 10.1016/S0927-0256(02)00465-2.