OPTICAL THIRD ORDER MIXING IN GaAs, Ge, Si, AND InAs.

Abstract

Nonlinear optical difference mixing of CO2 laser radiation is studied in the semiconductors GaAs, Ge, Si, and InAs. The fourth-rank electric susceptibility tensor receives independent contributions from the bound or valence electrons, chi superscript b, and, in n-type material from the conduction electrons, chi superscript n. These two contributions are separated and measured in GaAs. Chi superscript b is found to be anisotropic and chi superscript n is isotropic for carrier concentrations n = or < 5 x 10 to the 16th power/cc. The relative signs of the susceptibilities are determined. Chi superscript b in Ge and GaAs, and chi superscript n in GaAs and InAs all have the same sign for the particular frequency combination studied. Theoretical and experimental evidence indicate that this sign is positive. At room temperature chi superscript n in GaAs in a linear function of n for n = or < 5 x 10 to the 16th power/cc. The value of the slope, the partial derivative of chi superscript n with respect to n, is a direct measure of the nonparabolicity of the conduction band in GaAs. It is shown to be inconsistent with Kane's model for small direct band gap semiconductors, and in agreement with Cardona's indirect measurements of the nonparabolicity in GaAs. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1968
Accession Number
AD0677036

Entities

People

  • J. J. Wynne

Organizations

  • Harvard University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Band Gaps
  • Band Structures
  • Carbon Dioxide Lasers
  • Compound Semiconductors
  • Conduction Bands
  • Corpuscular Radiation
  • Electromagnetic Radiation
  • Electronics
  • Electrons
  • Elementary Fermions
  • Elementary Particles
  • Energy Bands
  • Fermions
  • Materials
  • Radiation
  • Semiconductors

Fields of Study

  • Materials science

Readers

  • Graph Algorithms and Convex Optimization.
  • Materials Science and Engineering.
  • Speech Processing/Speech Recognition.

Technology Areas

  • Directed Energy
  • Microelectronics