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Related Experiment Videos

Identification of a new trace 114R SiC by HREM.

Yang1, Shi, Meng

  • 1Laboratory of Atomic Imaging of Solids, Institute of Metal Research, The Chinese Academy of Sciences, Shenyang 110015, People's Republic of China, and Department of Electronic Science and Engineering, Liaoning University, Shenyang 110036, People's Republic of China. lais@imr.ac.cn

Acta Crystallographica. Section B, Structural Science
|August 6, 2000
PubMed
Summary

A rare 114R silicon carbide (SiC) polytype was identified in commercial alpha-SiC powder using advanced microscopy techniques. This discovery validates theoretical predictions for SiC polytype structures.

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Area of Science:

  • Materials Science
  • Solid-State Physics
  • Crystallography

Background:

  • Silicon carbide (SiC) exists in numerous polytypes, with 6H SiC being common in commercial powders.
  • Theoretical models have predicted various complex SiC polytypes based on stacking sequences.

Purpose of the Study:

  • To identify and characterize previously undiscovered SiC polytypes in commercial alpha-SiC powder.
  • To experimentally verify theoretical predictions of SiC polytype structures.

Main Methods:

  • High-resolution electron microscopy (HREM) for detailed structural imaging.
  • Electron diffraction patterns for crystallographic analysis.
  • X-ray diffraction for initial phase identification of the bulk material.

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Main Results:

  • A trace amount of the 114R SiC polytype was detected in commercial alpha-SiC powder, predominantly composed of 6H SiC.
  • The determined stacking sequence for 114R SiC is [(33)(4)(34)(2)](3) within a hexagonal unit cell.
  • The lattice parameters were found to be a = b = 3.073 Å and a c-axis periodicity of 286.14 Å.

Conclusions:

  • The experimental discovery of the 114R SiC polytype confirms theoretical models, specifically the faulted matrix model proposed by Pandey & Krishna.
  • This finding expands the known structural diversity of silicon carbide polytypes.
  • Advanced electron microscopy techniques are crucial for identifying rare polytypes in complex materials.