Optical Properties of Thermally Intermixed Quantum Wells and Superlattices

Abstract

The optical properties of thermally intermixed GaAs/AlGaAs quantum wells and superlattices are examined using thermal annealing, photoluminescence (PL), time-resolved photoluminescence (TPL), and theoretical models. A computer model to calculate the energy structure of intermixed quantum wells is refined and used with PL and TPL techniques to characterize the properties of thin (1 monolayer (ML) to 8 ML) annealed wells. A model for intermixed superlattices is developed next which predicts the changes in energy dispersion and density of states with annealing time, and is verified using PL and TPL. Selective intermixing techniques using a gallium focused ion beam (FIB), SiNx encapsulation, and patterned GaAs grown at low substrate temperature (LT-GaAs) are then studied. The FIB technique tends to suppress layer interdiffusion in and around the implanted region. The SiNx encapsulation is most promising with an interdiffusion selectivity ratio of more than 4:1. Initial LT-GaAs experiments show a small selectivity between regions.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA243546

Entities

People

  • Michael W. Prairie

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Band Structures
  • Crystal Lattices
  • Crystal Structure
  • Crystals
  • Energy Bands
  • High Electron Mobility Transistors
  • Measurement
  • Optical Properties
  • Optoelectronic Devices
  • Point Defects
  • Power Electronics
  • Quantum Wells
  • Refractive Index
  • Semiconductors
  • Solid State Physics
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Materials science

Readers

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

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing