Ab initio molecular dynamics to designing structural and dynamic properties in metallic glass-forming alloys AITranslate
Abstract AITranslate
An overview of a recent series of ab initio molecular dynamics (AIMD) simulations for the liquid, undercooled states of materials forming metallic glasses is presented. Here we use a combination of state-of-the-art computational techniques to resolve the atomic-level structure of such disordered systems. The dynamic properties, such as the self-diffusion coefficients and viscosity, are also studied as a function of temperature in the undercooled regime. By analyzing two model systems that involve different chemistry, i.e. Cu-Zr and Au-Si systems, we identify the local icosahedral ordering as a fundamental process underlying structural relaxation. Our findings have also strong implications for understanding the nature of the glass forming ability and properties of metallic glasses.
KeyWords AITranslate
Basic Information:
DOI:https://doi.org/10.1016/j.commatsci.2010.01.015
Chinese Library Classification Number:
Citation Information:
An overview of a recent series of ab initio molecular dynamics (AIMD) simulations for the liquid, undercooled states of materials forming metallic glasses is presented. Here we use a combination of state-of-the-art computational techniques to resolve the atomic-level structure of such disordered systems. The dynamic properties, such as the self-diffusion coefficients and viscosity, are also studied as a function of temperature in the undercooled regime. By analyzing two model systems that involve different chemistry, i.e. Cu-Zr and Au-Si systems, we identify the local icosahedral ordering as a fundamental process underlying structural relaxation. Our findings have also strong implications for understanding the nature of the glass forming ability and properties of metallic glasses.
quote
| GB/T 7714-2015 | [1] A. Pasturel, N. Jakse. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.01.015. |
| MLA | [1] A. Pasturel, and N. Jakse. Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.01.015. |
| APA | [1] A. Pasturel, & N. Jakse. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.01.015 |
| IEEE | [1] A. Pasturel and N. Jakse, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.01.015. |
