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Proceedings Paper

Computational materials science: an increasingly reliable engineering tool (example: defects in HgCdTe alloys)
Author(s): Arden Sher; M. van Schilfgaarde; M. A. Berding
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Paper Abstract

Computational materials science has evolved in recent years into a reliable theory capable of predicting not only idealized materials and device performance properties, but also those that apply to practical engineering developments. The codes run on workstations and even now are fast enough to be useful design tools. A review will be presented of the current status of this rapidly advancing field.As a demonstration of the power of the methods, predictions of the native point and complex defect, and impurity densities for the Hg0.8Cd0.2Te alloy as functions of external processing conditions will be treated. Where measurements have been done, the observed values agree well with the predictions. As an example, we find that As incorporates predominately on the cation sublattice, if the material is grown form the Te side of the existence curve, whereas it tends to reside on the anion sublattice in Hg-saturated growth. On the cation sublattice As is a donor. It is an acceptor on the Te sublattice. We have devised a post-MBE- growth processing method to encourage the transfer of As form the cation to the anion sublattice. Those aspects of the proposed process that have been tested work.

Paper Details

Date Published: 8 April 1998
PDF: 8 pages
Proc. SPIE 3287, Photodetectors: Materials and Devices III, (8 April 1998); doi: 10.1117/12.304485
Show Author Affiliations
Arden Sher, SRI International (United States)
M. van Schilfgaarde, SRI International (United States)
M. A. Berding, SRI International (United States)

Published in SPIE Proceedings Vol. 3287:
Photodetectors: Materials and Devices III
Gail J. Brown, Editor(s)

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