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Computational Models for Crystal Growth of Radiation Detector Materials: Growth of CZT by the EDG Method

Published online by Cambridge University Press:  01 February 2011

Jeffrey J. Derby  and
David Gasperino
Jeffrey J. Derby
Affiliation:
[email protected], University of Minnesota, Chemical Engineering and Materials Science, 421 Washington Ave, SE, Minneapolis, MN, 55455-0132, United States, 612-625-8881
David Gasperino
Affiliation:
[email protected], University of Minnesota, Chemical Engineering and Materials Science, 421 Washington Ave, SE, Minneapolis, MN, 55455-0132, United States
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Abstract

Crystals are the central materials element of most gamma radiation detection systems, yet there remains surprisingly little fundamental understanding about how these crystals grow, how growth conditions affect crystal properties, and, ultimately, how detector performance is affected. Without this understanding, the prospect for significant materials improvement, i.e., growing larger crystals with superior quality and at a lower cost, remains a difficult and expensive exercise involving exhaustive trial-and-error experimentation in the laboratory. Thus, the overall goal of this research is to develop and apply computational modeling to better understand the processes used to grow bulk crystals employed in radiation detectors. Specifically, the work discussed here aims at understanding the growth of cadmium zinc telluride (CZT), a material of long interest to the detector community. We consider the growth of CZT via gradient freeze processes in electrodynamic multizone furnaces and show how crucible mounting and design are predicted to affect conditions for crystal growth.

Keywords

crystal growthII-VIsimulation
Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 1038: Symposium O – Nuclear Radiation Detection Materials , 2007 , 1038-O05-09
Copyright
Copyright © Materials Research Society 2008

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