Computational Materials Science2022,Vol.2029.DOI:10.1016/j.commatsci.2021.110942

On calculations of basic structural parameters in multi-principal element small atomistic models

Xu, Shuozhi Chavoshi, Saeed Zare Su, Yanqing
Computational Materials Science2022,Vol.2029.DOI:10.1016/j.commatsci.2021.110942

On calculations of basic structural parameters in multi-principal element small atomistic models

Xu, Shuozhi 1Chavoshi, Saeed Zare 2Su, Yanqing3
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作者信息

  • 1. Univ Calif Santa Barbara
  • 2. Univ Oxford
  • 3. Utah State Univ
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Abstract

Multi-principal element alloys (MPEAs) are alloys that form solid solution phases and consist of three or more principal elements. Fundamental to the numerical study of mechanical properties of MPEAs are the calculations of their basic structural parameters such as lattice parameter and elastic constants. Due to the presence of multiple elements, calculation of each quantity should ideally consider multiple atomic configurations for each MPEA. However, direct calculations are sometimes expensive, and so some studies in the literature either considered only one atomic configuration or used an indirect method to provide an estimation. In this paper, we calculate the lattice parameters, cohesive energies, and elastic constants of 42 equal-molar refractory MPEAs using small atomistic models. For each quantity in each MPEA, four approaches are used: multiple direct calculations using the alloy potential, a single direct calculation using the A-atom potential, as well as estimations using two rules of mixtures. It is shown that the coefficient of variation based on the first approach positively scales with the lattice distortion of MPEAs. In addition, taking the mean values obtained via the first approach as references, we find that the other three approaches can overestimate or underestimate the basic structural parameters.

Key words

Basic structural parameters/Multi-principal element alloys/Atomistic simulations/Embedded-atom method potential/Rules of mixtures/HIGH-ENTROPY ALLOYS/MECHANICAL-PROPERTIES/CRACK-TIP/DESIGN/SIMULATIONS/DEFECTS/NBTIZR

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量7
参考文献量72
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