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Models and regressions to describe primary damage in silicon carbide

Silicon carbide (SiC) and SiC/SiC composites are important candidate materials for use in the nuclear industry. Coarse grain models are the only tools capable of modelling defect accumulation under different irradiation conditions at a realistic time and length scale. The core of any such model is t...

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Autores principales: Bonny, G., Buongiorno, L., Bakaev, A., Castin, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320178/
https://www.ncbi.nlm.nih.gov/pubmed/32591614
http://dx.doi.org/10.1038/s41598-020-67070-x
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author Bonny, G.
Buongiorno, L.
Bakaev, A.
Castin, N.
author_facet Bonny, G.
Buongiorno, L.
Bakaev, A.
Castin, N.
author_sort Bonny, G.
collection PubMed
description Silicon carbide (SiC) and SiC/SiC composites are important candidate materials for use in the nuclear industry. Coarse grain models are the only tools capable of modelling defect accumulation under different irradiation conditions at a realistic time and length scale. The core of any such model is the so-called “source term”, which is described by the primary damage. In the present work, classical molecular dynamics (MD), binary collision approximation (BCA) and NRT model are applied to describe collision cascades in 3C-SiC with primary knock-on atom (PKA) energy in the range 1–100 keV. As such, BCA and NRT are benchmarked against MD. Particular care was taken to account for electronic stopping and the use of a threshold displacement energy consistent with density functional theory and experiment. Models and regressions are developed to characterize the primary damage in terms of number of stable Frenkel pairs and their cluster size distribution, anti-sites, and defect type. As such, an accurate cascade database is developed with simple descriptors. One of the main results shows that the defect cluster size distribution follows the geometric distribution rather than a power law.
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spelling pubmed-73201782020-06-30 Models and regressions to describe primary damage in silicon carbide Bonny, G. Buongiorno, L. Bakaev, A. Castin, N. Sci Rep Article Silicon carbide (SiC) and SiC/SiC composites are important candidate materials for use in the nuclear industry. Coarse grain models are the only tools capable of modelling defect accumulation under different irradiation conditions at a realistic time and length scale. The core of any such model is the so-called “source term”, which is described by the primary damage. In the present work, classical molecular dynamics (MD), binary collision approximation (BCA) and NRT model are applied to describe collision cascades in 3C-SiC with primary knock-on atom (PKA) energy in the range 1–100 keV. As such, BCA and NRT are benchmarked against MD. Particular care was taken to account for electronic stopping and the use of a threshold displacement energy consistent with density functional theory and experiment. Models and regressions are developed to characterize the primary damage in terms of number of stable Frenkel pairs and their cluster size distribution, anti-sites, and defect type. As such, an accurate cascade database is developed with simple descriptors. One of the main results shows that the defect cluster size distribution follows the geometric distribution rather than a power law. Nature Publishing Group UK 2020-06-26 /pmc/articles/PMC7320178/ /pubmed/32591614 http://dx.doi.org/10.1038/s41598-020-67070-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bonny, G.
Buongiorno, L.
Bakaev, A.
Castin, N.
Models and regressions to describe primary damage in silicon carbide
title Models and regressions to describe primary damage in silicon carbide
title_full Models and regressions to describe primary damage in silicon carbide
title_fullStr Models and regressions to describe primary damage in silicon carbide
title_full_unstemmed Models and regressions to describe primary damage in silicon carbide
title_short Models and regressions to describe primary damage in silicon carbide
title_sort models and regressions to describe primary damage in silicon carbide
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320178/
https://www.ncbi.nlm.nih.gov/pubmed/32591614
http://dx.doi.org/10.1038/s41598-020-67070-x
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