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Published on: April 8, 2020
First-principles KKR-CPA calculation of interactions between concentration fluctuations
1Department of Physics, Graduate School of Science, Osaka University, 1-1 Machikaneyama, Toyonaka 560-0043, Japan.
This study introduces a new method for calculating atomic interactions in metals and semiconductors using KKR-CPA. The approach fully accounts for electron-electron and multiple scattering effects, crucial for transition-metal alloys.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Chemistry
Background:
- Accurate calculation of atomic interactions is essential for understanding material properties.
- Existing methods like the generalized perturbation method (GPM) often neglect significant electron-electron and multiple scattering effects.
- First-principles electronic structure calculations offer a robust framework for these investigations.
Purpose of the Study:
- To develop an advanced method for calculating atomic interactions in metals and semiconductors.
- To incorporate electron-electron interactions and multiple scattering effects within the KKR-CPA framework.
- To evaluate the importance of these effects in different alloy systems.
Main Methods:
- Utilizing the Korringa-Kohn-Rostoker coherent potential approximation (KKR-CPA) framework.
- Introducing a novel approach by considering two specific atoms embedded within a CPA medium.
- Fully accounting for electron-electron interactions and multiple scattering phenomena.
Main Results:
- The developed method successfully calculates atomic interactions.
- Electron-electron and multiple scattering effects were found to be significant in transition-metal alloys like FeAl.
- These effects were less pronounced in alloys such as AuCu, where d states are below the Fermi level.
Conclusions:
- The proposed KKR-CPA method provides a more comprehensive approach to calculating atomic interactions.
- The findings highlight the critical role of electron-electron and multiple scattering effects in specific alloy systems.
- This advancement enables more accurate predictions of material behavior.
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