Modeling insights on the melt growth of cadmium zinc telluride

Jeffrey J. Derby, Nan Zhang, Andrew Yeckel

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Computational modeling has provided the understanding needed to unravel many of the unusual characteristics of the melt growth of cadmium zinc telluride. Results are presented that clarify the origin and benefit of horizontal Bridgman shelf growth employed for infrared substrate material. Another example provides insight on how a non-classical approach may provide improved outcomes using multiple-zone, gradient-freeze furnaces for the vertical Bridgman growth of bulk material for gamma radiation detectors.

Original languageEnglish (US)
Pages (from-to)28-33
Number of pages6
JournalJournal of Crystal Growth
StatePublished - 2013

Bibliographical note

Funding Information:
This work was conducted at the University of Minnesota and supported in part by the Department of Energy, National Nuclear Security Administration, under Award DE-FG52-08NA28768. The content of the work does not necessarily reflect the position or policy of the United States Government, and no official endorsement should be inferred. Computational resources were provided by the Minnesota Supercomputer Institute.


  • A1. Computer simulation
  • A1. Convection
  • A1. Heat transfer
  • A1. Segregation
  • A2. Bridgman technique
  • B2. Semiconducting II-VI materials


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