The Role of the Interfaces in the Optical Effects of Large-Sized SiC(x)O(1-x)N Nanocrystallites

Abstract

The band energy structure of large-sized (10-25) nm nanocrystallites (NC) of SiC(x)O(1-x)N (0.96 < x < 1.06) was investigated using different band energy approaches. as well as modified Car Parinello molecular dynamics simulations of interfaces. A thin carbon sheet (of about 1 nm) appears, covering the crystallites. This sheet leads to substantial reconstruction of the near-the-interface SiC(x)O(1-x)N crystalline layers. Numerical modeling shows that these NC may be treated as quantum dot-like SiC(x)O(1-x)N reconstructed crystalline surfaces, covering the appropriate crystallites. All band energy calculation approaches (semi-empirical pseudopotential, fully augmented plane waves and norm-conserving self-consistent pseudopotential approaches) predicted the experimental spectroscopic data. In particular, it was shown that the near-the-surface carbon sheet plays a dominant role in the behavior of the reconstructed band energy structure. Independent evidence for the important role of the dot-like crystalline layers are the excitonic-like states, which are not dependent on the particular structure of the SiC, but are sensitive to the thickness of the carbon layer.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADP012240

Entities

People

  • H. Kaddouri
  • I. V. Kityk
  • K. J. Plucinski

Organizations

  • Military University of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Absorption
  • Band Structures
  • Charge Density
  • Dispersions
  • Electron Energy
  • Electronics
  • Energy Bands
  • Energy Gaps
  • Materials
  • Nanocomposites
  • Nanotechnology
  • Optical Absorption
  • Optical Properties
  • Physics
  • Semiconductors
  • Silicon Carbide
  • Transparencies

Fields of Study

  • Materials science

Readers

  • Materials Science and Engineering.
  • Quantum Chemistry

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing