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The third important structural model, the random close-packing model for metallic glasses, is difficult to illustrate with a simple diagram.
In this work, development of a voltage dependent resistance model for metallic carbon nanotubes is aimed.
A predictive model for metallic glass compositional design was constructed based upon the calculated liquidus temperatures.
A theoretical model for metallic surface topography modification by high-frequency vibration is proposed based on the acoustic plasticity.
A multi-atom gas bubble-nucleation mechanism has been proposed as part of a predictive fission-gas release model for metallic nuclear fuels.
We have previously proposed the "cluster-plus-glue-atom" model for metallic glasses and the relevant cluster formula [cluster](glue atom)x, x ∼ 1 or 3.
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Therefore, fatigue crack propagation models for metallic materials have to care about history effects.
A study is undertaken to develop a methodology for determining the suitability of various high-cycle fatigue models for metallic structures subjected to combined thermal-acoustic loadings.
The material properties are modeled by using the Kelvin model for metals and Linear Solid Standard model for non-metallic (polymeric) matching layers.
Theoretical model for chiral metallic nanoparticle assemblies can be found in [38].
We developed a spectral element model for a metallic beam with a bonded composite patch by using the variational method.
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