Displacement cascades and defects annealing in tungsten, Part I: defect database from molecular dynamics simulations
Wahyu Setyawan, Giridhar Nandipati, Kenneth J. Roche, Howard L., Heinisch, Brian D. Wirth, Richard J. Kurtz

TL;DR
This study uses molecular dynamics to create a detailed database of defect formation in tungsten due to displacement cascades, revealing energy-dependent regimes, defect clustering behaviors, and temperature effects on defect types and sizes.
Contribution
It provides the first comprehensive database of defect production in tungsten across a wide energy and temperature range, highlighting new defect clustering and formation behaviors.
Findings
Two regimes of defect production with distinct power-law exponents.
Transition energy at approximately 250×E_d marks a change in defect behavior.
Temperature influences defect clustering, increasing SIA clusters and reducing vacancy clusters.
Abstract
Molecular dynamics simulations have been used to generate a comprehensive database of surviving defects due to displacement cascades in bulk tungsten. Twenty one data points of primary knock-on atom (PKA) energies ranging from 100 eV (sub-threshold energy) to 100 keV (780, where is the average displacement threshold energy) have been completed at 300 K, 1025 K and 2050 K. Within this range of PKA energies, two regimes of power-law energy-dependence of the defect production are observed. A distinct power-law exponent characterizes the number of Frenkel pairs produced within each regime. The two regimes intersect at a transition energy which occurs at approximately 250. The transition energy also marks the onset of the formation of large self-interstitial atom (SIAs) clusters (size 14 or more). The observed defect clustering behavior is asymmetric, with…
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