Modeling of Enhanced Thermoelectric Processes Based on Asymmetrically-Graded Superlattices

Abstract

In this study, we explore the influence of spatially graded energy bands on the thermoelectric properties of thin film semiconductors. In the analysis, we utilize the semi-classical Boltzmann equation in the relaxation approximation. The thermoelectric variables are calculated in terms of spatially varying, band engineered conduction and valence band edges, and a spatially dependent electron-phonon relaxation time based on longitudinal acoustic dispersion; use is made of the spherical band approximation and a spatially dependent effective mass for conduction and valence hand carriers to obtain explicit parametric results for the Seebeck coefficient and the figure of merit for a model slab of material of finite length. The Seebeck coefficient is determined and is shown to be enhanced by the addition of a term which depends analytically upon a spatial average of the relative "band engineered" energy hand edge divided by k T(x), where T(x) is the spatially dependent temperature across the sample. The figure of merit, Z T, is also estimated in terms of band engineered variables and discussed in the light of a variational principle which allows for the optimization of Z T. Suggestions for more detailed and rigorous analysis of thermoelectric transport and optimization of Z T are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 12, 2005
Accession Number
ADA429401

Entities

People

  • Gerald J. Iafrate

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Band Structures
  • Boltzmann Equation
  • Coefficients
  • Conduction Bands
  • Crystal Lattices
  • Crystal Structure
  • Electrons
  • Energy Bands
  • Figure Of Merit
  • Materials
  • Relaxation Time
  • Semiconductors
  • Temperature Gradients
  • Thermal Conductivity
  • Transport Properties
  • Valence Bands
  • Variational Principles

Fields of Study

  • Materials science

Readers

  • Computational Modeling and Simulation
  • Fluid Dynamics.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Microelectronics