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Unified Model for the Solution of Interstitials in Refractory High-Entropy Alloys
Qianxi Zhu1, Wang Gao1, Qing Jiang1
1Jilin University, Key Laboratory of Automobile Materials, Ministry of Education, Department of Materials Science and Engineering, Changchun 130022, China.
We developed a new analytic model to predict the stability of interstitial nonmetallic solutes (INSs) in refractory high-entropy alloys (RHEAs). This model offers electronic-level insights crucial for designing advanced RHEAs with tailored properties.
Area of Science:
- Materials Science
- Solid State Chemistry
- Computational Materials Science
Background:
- Interstitial nonmetallic solutes (INSs) like H, He, O, C, N, P, and S are prevalent in refractory high-entropy alloys (RHEAs).
- The properties of RHEAs are significantly influenced by the dissolution of these INSs.
- The complex local chemical environments in RHEAs complicate the prediction of INS stability and mechanistic understanding.
Purpose of the Study:
- To develop a predictive analytic model for determining the solution energy of INSs in RHEAs.
- To provide an electronic-level understanding of INS behavior in RHEAs.
- To facilitate the rational design of advanced RHEAs.
Main Methods:
- Utilized tight-binding models as the foundation for the proposed analytic model.
- Developed a scheme to quantitatively predict the solution energy of INSs.
- Analyzed the linear dependence of INS energetics on the d-band width of neighboring atoms.
Main Results:
- Established a linear relationship between the energetics of INSs and the d-band width of their neighboring elements.
- Identified that the slope of this linear relationship is dictated by the bonding characteristics of the INSs.
- The model successfully explains key experimental observations regarding INS behavior in RHEAs.
Conclusions:
- The proposed analytic model offers an electronic-level understanding of INS solution in RHEAs.
- This predictive tool can guide the design of novel RHEAs with enhanced properties.
- The model simplifies the prediction of INS stability in complex alloy systems.
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