Theoretical Investigation of Superconducting State Parameters of Some Bulk Metallic Glasses Using Pseudopotential Approach

Vora, Aditya M.; Gandhi, Alkesh L.

doi:10.1007/s10948-019-05208-3

Cited by 5 publications

(1 citation statement)

References 41 publications

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“…Furthermore, in subsequent studies, other physical properties of MGs have been revealed to be related to the corresponding properties of the principal elements. Examples of this phenomenon include Gd-, Ho-, Dy-, Er-, and La-based MGs with promising magnetocaloric properties [15][16][17], Nd-, Pr-, and Sm-based MGs showing hard magnetic behavior [18], Ce-based MGs that display heavy fermionic behavior [19]; and superconductive MG systems exploiting the superconductive properties of La, Fe, Zr, Hf, and Cu [20][21][22][23]. While, for other MGs [24], it is not always the case.…”

Section: Introductionmentioning

confidence: 99%

Inheritance factor on the physical properties in metallic glasses

Yang

et al. 2022

Mater. Futures

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Material genetic engineering can significantly accelerate the development of new materials. As an important topic in material science and condensed matter physics, the development of metallic glasses (MGs) with specific properties has largely been the result of trial and error since their discovery in 1960. Yet, property design based on the physical parameters of constituent elements of MGs remains a huge challenge owing to the lack of an understanding of the property inheritance from constitute elements to the resultant alloys. In this work, we report the inherent relationships of the yield strength σy, Young’s modulus E, and shear Modulus G with the valence electron density. More importantly, we revealed that the electronic density of states (EDOS) at the Fermi surface (EF) is an inheritance factor for the physical properties of MGs. The physical properties of MGs are inherited from the specific element with the largest coefficient of electronic specific heat (γi), which dominates the value of the EDOS at EF. This work not only contributes to the understanding of property inheritances but also guides the design of novel MGs with specific properties based on material genetic engineering.

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