133
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Atomic-level computer simulation of SiC: defect accumulation, mechanical properties and defect recovery

Pages 509-518 | Published online: 08 Aug 2006
 

Abstract

Damage accumulation simulated previously (F. Gao and W.J. Weber, Phys. Rev. B 66 024106 (2002)) has been used to study volume swelling of 3C–SiC, and to calculate the elastic constants, bulk and elastic moduli of the cascade-amorphized SiC. The swelling increases rapidly with dose at low-dose levels, but the rate of increase decreases dramatically at higher dose with a saturation volume change of 8.2% for the cascade-amorphized state. The elastic constants in the cascade-amorphized SiC decrease by about 19, 29 and 46% for C11, C12 and C44, respectively, and 23% for bulk and elastic moduli. In order to understand defect annealing of damage accumulation, the stable Frenkel pairs created at low-energy events have been annealed at different temperatures, using molecular dynamics methods, to determine the time required for interstitials to recombine with vacancies. The results show that the low activation energies qualitatively overlap with experimental values determined for defect recovery below 300 K. Thus, the present results suggest that this experimental recovery stage is associated with the spontaneous recovery of Frenkel pairs.

Acknowledgements

This research was supported by the Division of Materials Sciences and Engineering, Office of Basic Energy Sciences, U.S. Department of Energy, under Contract DE-AC06-76RLO 1830.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 786.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.