InGaN/GaN Quantum Dots --- Growth, Nano-Structure Material Analysis, and Optical Characterization

Abstract

We compare the result of strain state analysis (SSA) and photoluminescence (PL) of six InGaN/Gan quantam well samples with un-doped, well-doped, and barrier-doped structures. Based on SSA images, a strain relaxation model is proposed for describung the nanostructure differences between the three sets of sample of different doping conditions. In the barrier-doped samples, the hetero-structure-induced. Therefore, strongly clustering nanostructures (quantum dots) are observed. In the well-doped samples, strain are partially relaxed and the spinodal decompositions are observed. Then, in the Un-doped samples, the un-relaxed strains result in higher miscibility between InN and GaN, Leading to the relatively more uniform composition distributions. Between the Low- and high-indium samples, higher indium content leads to a stronger clustering behavior. The strain relaxations in the well-doped and barrier-doped samples result in their unclear S-Shape behaviors of PL spectral peaks. The enhaused carrier localization and reduced quantum-confined stark effect in the barrier-doped samples are responsible for their significant increases of radiative efficiency.

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Document Details

Document Type
Technical Report
Publication Date
Apr 27, 2005
Accession Number
ADA473155

Entities

People

  • Chih-Chung Yang

Organizations

  • National Taiwan University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Abstracts
  • Clustering
  • Crystals
  • Decomposition
  • Information Operations
  • Materials
  • Nanocrystals
  • Nanomaterials
  • Nanostructures
  • Optical Phenomena
  • Quantum Dots
  • Spinodal Decomposition
  • Stark Effect

Fields of Study

  • Materials science

Readers

  • Materials Science and Engineering.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Semiconductor Device Technology

Technology Areas

  • Microelectronics
  • Quantum Computing