Improving atomic displacement and replacement calculations with physically realistic damage models
Kai Nordlund1, Steven J Zinkle2,3, Andrea E Sand4
1Department of Physics, University of Helsinki, P.O.Box 43, Helsinki, FI-00014, Finland. kai.nordlund@helsinki.fi.
Nature Communications
|March 16, 2018
Summary
New models improve radiation damage quantification in materials. The proposed athermal recombination corrected displacements per atom (arc-dpa) and replacements per atom (rpa) functions offer more realistic estimates than the standard NRT-dpa model.
Area of Science:
- Materials Science
- Nuclear Engineering
- Condensed Matter Physics
Background:
- Atomic collision processes are crucial for advanced technologies like electron microscopy, semiconductor fabrication, and nuclear energy.
- The Norgett-Robinson-Torrens displacements per atom (NRT-dpa) model is the current standard for quantifying energetic particle damage.
- The NRT-dpa model has known limitations, underestimating defect production and overestimating atomic mixing.
Purpose of the Study:
- To address the limitations of the NRT-dpa model in accurately quantifying radiation damage.
- To introduce new, more physically realistic estimators for primary defect creation and atomic mixing.
- To propose complementary measures for enhanced radiation damage assessment in materials.
Main Methods:
- Development of new displacement production estimators, specifically athermal recombination corrected displacements per atom (arc-dpa).
- Formulation of new atomic mixing estimators, termed replacements per atom (rpa).
- Comparison and extension of existing NRT-dpa model calculations.
Main Results:
- The number of radiation defects produced in energetic cascades is approximately 1/3 of the NRT-dpa prediction.
- The number of atoms involved in atomic mixing is about 30 times larger than predicted by the dpa value.
- The proposed arc-dpa and rpa functions provide more accurate descriptions of primary defect creation and atomic mixing.
Conclusions:
- The proposed arc-dpa and rpa functions offer more physically realistic descriptions of radiation damage compared to the NRT-dpa model.
- These new estimators can serve as additional standard measures for quantifying radiation damage in materials.
- Improved quantification of radiation damage is essential for advancing materials technologies in various fields.
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