Suitability of AlAs/GaAs (001) superlattices for photonic applications

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Abstract

The effects of ΓX-valley mixing in (AlAs)n(GaAs)n (001) superlattices (SLs) on the electronic and optical properties are theoretically investigated versus the SL period (n = 1-25) and the band offsets. The calculations are based on both the empirical sp3s* tight-binding model and the surface Green-function-matching method. The results show that the top state of the valence band (VB) is always confined to the GaAs slabs, whereas the bottom state of the conduction band (CB) shows different behaviors as it is sensitive to band mixing and, therefore, can control the optical properties of the superlattice. For large values of n (n≥9) the SL is found to have a direct bandgap at Γ-point and, thus, forms a type-I heterostructure consisting of multiple quantum wells. Whereas for the ultrathin-layer SLs (n≤8), the interaction between the wells becomes considerable and band mixing effects are important. The X-valley, attributed to the AlAs slabs, becomes the lowest state in the CB and therefore the SL forms a type-II heterostructure with an indirect bandgap. These valley-mixing effects are shown to be efficient only for small conduction band offsets (CBO≤190 meV). As the SL bandgap energy varies from 2.1 to 1.6 eV when n changes from 1 to 25 respectively, and these former values do, indeed, lie whithin the energy spectrum of the visible light, we concluded that the studied SLs are suitable for photonic device applications when the layer thicknesses are LGaAs≥LAlAs≥26 angstroms.

Original languageEnglish
Pages (from-to)767-771
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3491
DOIs
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 International Conference on Applications of Photonic Technology, ICAPT - Ottawa, Can
Duration: Jul 29 1998Jul 31 1998

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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