Greens Function-Based Defect Identification in InAs-InA1-xSbx Strained Layer Superlattices (Postprint)

Abstract

We have extended the recently developed approach that employs first-principles Hamiltonian, tight-binding Hamiltonian, and Greens function methods to study native point defect states in InAs/InAs0.7Sb0.3 strained layer superlattices (SLS) latticed matched to GaSb. Our calculations predict a defect level at 250 meV below the GaSb valance band edge, in agreement with values deduced recently from lifetime measurements and analysis [Aytac et al. Phys. Rev. Appl., 5, 054016 (2016)]. In addition, we identify the defect level to be arising from an In-vacancy in the InAsSb region of the superlattice. The formation energy calculations further indicate that In-vacancies are easier to form in both regions of the superlattice than in bulk InAs or in InAsSb alloy. Our results suggest that In-vacancy is the most damaging native defect that limits lifetimes InAs/ InAs/InAs0.7Sb0.3

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2017
Accession Number
AD1040281

Entities

People

  • Siddhartha Krishnamurthy
  • Zhi G. Yu

Organizations

  • SRI International

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Air Force
  • Air Force Research Laboratories
  • Band Gaps
  • Band Structures
  • Conduction Bands
  • Crystal Lattices
  • Energy Bands
  • Energy Levels
  • Identification
  • Long-Wavelength Infrared Radiation
  • Materials
  • Optical Properties
  • Point Defects
  • Superlattices
  • United States
  • Valence Bands

Fields of Study

  • Materials science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Materials Science and Engineering.
  • Semiconductor Device Technology