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Published on: June 7, 2018
Electron-phonon coupling in Ni-based binary alloys with application to displacement cascade modeling.
G D Samolyuk1, L K Béland, G M Stocks
1Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Electron-phonon coupling in Ni-based alloys significantly impacts energy dissipation during irradiation. Magnetic ordering reduces this coupling by ~50%, affecting defect production in materials science.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Materials Science
Background:
- Energy transfer between lattice atoms and electrons is crucial for understanding material behavior under irradiation.
- Electron-phonon (el-ph) coupling strength governs this energy dissipation, particularly in displacement cascades.
- Accurate modeling of el-ph coupling is essential for predicting material performance and durability.
Purpose of the Study:
- To calculate the el-ph coupling in concentrated Ni-based alloys (NiFe, NiCo, NiPd, NiCr).
- To investigate the influence of magnetic ordering on el-ph coupling and its temperature dependence.
- To incorporate these findings into molecular dynamics simulations to assess their impact on defect production.
Main Methods:
- Utilized electronic structure calculations within the coherent potential approximation.
- Determined magnetic properties and density of states at the Fermi level for Ni-based alloys.
- Developed and applied a two-temperature model incorporating calculated el-ph coupling in cascade simulations.
Main Results:
- NiFe, NiCo, and NiPd alloys exhibit ferromagnetic ordering, while NiCr is nonmagnetic.
- Magnetic ordering, originating from Stoner-type magnetism, reduces el-ph coupling by approximately 50%.
- Calculated el-ph coupling increases with temperature initially, then decreases above the Curie temperature.
Conclusions:
- Magnetic state significantly reduces el-ph coupling in these Ni-based alloys.
- The temperature dependence of el-ph coupling is linked to the electronic density of states.
- Incorporating these el-ph coupling parameters in simulations enhances defect production predictions by 10-20%.
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