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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7320178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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