Fractal analysis of collision cascades in pulsed-ion-beam-irradiated solids [Collision cascade densities in ion pulsed ion irradiated solids { a fractal approach]

Wallace, J. B.; Aji, L. B.  Bayu; Shao, L.; Kucheyev, S. O.

doi:10.1038/s41598-017-17781-5

Title: Fractal analysis of collision cascades in pulsed-ion-beam-irradiated solids [Collision cascade densities in ion pulsed ion irradiated solids { a fractal approach]

Journal Article · Thu Dec 14 00:00:00 EST 2017 · Scientific Reports

DOI:https://doi.org/10.1038/s41598-017-17781-5· OSTI ID:1529188

Wallace, J. B. ^[1]; Aji, L. B. Bayu ^[1]; Shao, L. ^[2]; Kucheyev, S. O. ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Texas A & M Univ., College Station, TX (United States). Department of Nuclear Engineering

The buildup of radiation damage in ion-irradiated crystals often depends on the spatial distribution of atomic displacements within collision cascades. Although collision cascades have previously been described as fractals, the correlation of their fractal parameters with experimental observations of radiation damage buildup remains elusive. Here, we use a pulsed-ion-beam method to study defect interaction dynamics in 3C-SiC irradiated at 100 °C with ions of different masses. These data, together with results of previous studies of SiC and Si, are analyzed with a model of radiation damage formation which accounts for the fractal nature of collision cascades. Our emphasis is on the extraction of the effective defect diffusion length from pulsed beam measurements. Results show that, for both Si and SiC, collision cascades are mass fractals with fractal dimensions in the range of ~1–2, depending on ion mass, energy, and the depth from the sample surface. Within our fractal model, the effective defect diffusion length is ~10 nm for SiC and ~20 nm for Si, and it decreases with increasing cascade density. These results demonstrate a general method by which the fractal nature of collision cascades can be used to explain experimental observations and predict material’s response to radiation.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1529188

Report Number(s):: LLNL-JRNL-730937; 881115

Journal Information:: Scientific Reports, Vol. 7, Issue 1; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 13 works

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