Modeling The Growth of Electronic Materials.

Abstract

Through the DEPSCoR program, this grant (N00014-93-l-l 105) allowed Auburn University to acquire a dedicated workstation to simulate properties of semiconductors and their alloys. We have acquired a HP9000/735 workstation (named SOLID) with a sufficient speed, memory, storage, and graphic capability to perform realistic simulations. The biggest advantage of having this machine is that we are not constrained by the turn- around and CPU time imposed by a general-purpose supercomputer. Since the installation of this machine in January 1994, we have made progress in several directions. These include (1) obtaining criteria for convergence in molecular-dynamic (MD) simulations of disordered zincblende alloys, (2) obtaining accurate information about bond lengths and excess energies of disordered zincblende alloys, (3) achieving a reliable method for obtaining bulk alloy free energies and phase diagrams from finite-size Monte- Carlo (MC) simulations, and (4) establishing an effective iterative method for calculating the density matrix in an order-N algorithm. In the last step we have demonstrated the validity of the density matrix approach. Using this method, we do not need to diagonalize the one electron Hamiltonian. Thus the computing time is reduced from the N3 to N, where N is the number of atoms per unit cell used in the simulation. These studies have demonstrated the ability of SOLID for performing realistic MD and MC simulations. These results are being used to investigate a new class of III-V infrared materials and the wide-gap semiconductors SiC, GaN, AlN and their alloys.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA289137

Entities

People

  • An-ban Chen

Organizations

  • Auburn University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Alloys
  • Band Structures
  • Binary Alloys
  • Critical Temperature
  • Free Energy
  • Materials
  • Molecular Dynamics
  • Monte Carlo Method
  • Phase
  • Phase Diagrams
  • Phase Separation
  • Physical Properties
  • Quantum Properties
  • Semiconductors
  • Simulations
  • Structural Properties

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.
  • Quantum Chemistry

Technology Areas

  • Microelectronics