2008
DOI: 10.1007/s11661-008-9503-8
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Characterization of Open Volume Regions in a Simulated Cu-Zr Metallic Glass

Abstract: Optimizing the structural reliability of bulk metallic glass (BMG) components demands a detailed understanding of the atomic structure of the glass, particularly the defects that control plastic flow. These defects are thought to be associated with regions of low atomic density, which facilitate the required diffusion-like atomic rearrangement processes. In the present article, the distribution of low-density regions in a simulated Cu-Zr glass is studied with two different techniques. Using a hard-sphere model… Show more

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Cited by 9 publications
(4 citation statements)
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References 40 publications
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“…10a. A similar approach based on linear superpositions of atomic charge density (similar to the spirit of the Harris functional 100 ) was developed by Bharathula et al 101 to quantify the open-volume distribution in a Cu-Zr MG.…”
Section: Subatomic Voids In Metallic Glassesmentioning
confidence: 99%
“…10a. A similar approach based on linear superpositions of atomic charge density (similar to the spirit of the Harris functional 100 ) was developed by Bharathula et al 101 to quantify the open-volume distribution in a Cu-Zr MG.…”
Section: Subatomic Voids In Metallic Glassesmentioning
confidence: 99%
“…Unlike the point defects in crystals, free volume is usually of subatomic scale without fixed shape or characteristic size [5]. According to Turnbull and Cohen [6], the free volume in MGs can be defined as follows: (1) it is possible to assign a local volume v of atomic scale to each atom in the glass (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…It is known that molecular dynamics (MD) simulation is a powerful tool for studying the structural information of MGs, but this method does not usually fit the experimental data [30,31,32,33,34,35,36]. On the other hand, reverse Monte-Carlo (RMC), simulating the synchrotron radiation experimental data, is another effective method for probing fine structural information in MGs, but it lacks the chemical potential for avoiding uncertainties during calculation [37].…”
Section: Experiments and Simulations Sectionmentioning
confidence: 99%