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Electron Channeling Contrast Imaging for Rapid III-V Heteroepitaxial Characterization
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Vacancy interaction with dislocations in silicon: the shuffle-glide competition

Justo1, de Koning M, Cai

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The core of partial dislocations in silicon prefers the glide position over the shuffle position, even at high temperatures. This preference is due to lower vacancy formation energy in the glide core defects.

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Area of Science:

  • Materials Science
  • Solid-State Physics
  • Computational Materials Science

Background:

  • Partial dislocations in silicon (Si) exhibit alternative core configurations, specifically shuffle and glide 111 plane subsets.
  • Understanding the energetic preferences of these configurations is crucial for predicting material properties and behavior.

Purpose of the Study:

  • To investigate the energetic competition between shuffle and glide core positions for 30-degree partial dislocations in silicon.
  • To determine the preferred stable configuration of partial dislocation cores under varying thermal conditions.

Main Methods:

  • Employed ab initio total energy calculations to determine electronic structure and energies.
  • Utilized finite temperature free-energy calculations based on an interatomic potential to assess thermal effects.
  • Calculated free energies for vacancy-type core defects in both shuffle and glide configurations.

Main Results:

  • The free energy of vacancy formation in the core of a 30-degree glide partial dislocation is significantly lower (over 1 eV) than in the bulk silicon.
  • Despite lower vacancy formation energy, the thermal concentration of shuffle segments (rows of vacancies) remains low.
  • The glide subset position is predicted to be the energetically favored configuration for the 30-degree partial dislocation core.

Conclusions:

  • The 30-degree partial dislocation in silicon predominantly adopts the glide subset core configuration.
  • Vacancy formation in dislocation cores is energetically favorable compared to the bulk, but does not drive the system to the shuffle configuration.
  • Computational methods provide accurate predictions for dislocation core structures and their thermal stability.