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Title: Deterministic Role of Collision Cascade Density in Radiation Defect Dynamics in Si

Journal Article · · Physical Review Letters
 [1];  [2];  [3];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering
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The formation of stable radiation damage in solids often proceeds via complex dynamic annealing (DA) processes, involving point defect migration and interaction. The dependence of DA on irradiation conditions remains poorly understood even for Si. Here, we use a pulsed ion beam method to study defect interaction dynamics in Si bombarded in the temperature range from ~ -30 °C to 210 °C with ions in a wide range of masses, from Ne to Xe, creating collision cascades with different densities. We demonstrate that the complexity of the influence of irradiation conditions on defect dynamics can be reduced to a deterministic effect of a single parameter, the average cascade density, calculated by taking into account the fractal nature of collision cascades. For each ion species, the DA rate exhibits two well-defined Arrhenius regions where different DA mechanisms dominate. These two regions intersect at a critical temperature, which depends linearly on the cascade density. The low-temperature DA regime is characterized by an activation energy of ~ 0.1 eV , independent of the cascade density. The high-temperature regime, however, exhibits a change in the dominant DA process for cascade densities above ~ 0.04 at.%, evidenced by an increase in the activation energy. These results clearly demonstrate a crucial role of the collision cascade density and can be used to predict radiation defect dynamics in Si.

Research Organization:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1529190
Alternate ID(s):
OSTI ID: 1439127
Report Number(s):
LLNL-JRNL-744458; PRLTAO; 898774
Journal Information:
Physical Review Letters, Vol. 120, Issue 21; ISSN 0031-9007
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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Cited By (4)

Impact of pre-existing disorder on radiation defect dynamics in Si journal August 2019
Deep learning inter-atomic potential model for accurate irradiation damage simulations journal June 2019
Control of superconductivity in MgB 2 by ion bombardment journal May 2019
Deep learning inter-atomic potential model for accurate irradiation damage simulations text January 2019

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