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High-Performance Computing, Multi-Scale Models for Crystal Growth Systems

  • Conference paper
High Performance Scientific And Engineering Computing

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 21))

Abstract

Large-scale numerical simulation carried out via high performance computing is proving to be an increasingly useful approach to understand crystal growth systems. However, increasing realism demands new approaches for describing phenomena important at several disparate length scales. Of special importance is the ability to represent three-dimensional and transient continuum transport (flows, heat and mass transfer), phase-change phenomena (thermodynamics and kinetics), and system design (such as furnace heat transfer during melt growth). A brief overview is presented of mathematical models and numerical algorithms employed to include such multi-scale effects. Sample results are presented for Bridgman crystal growth and solution crystal growth systems

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References

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Author information

Authors and Affiliations

  1. Department of Chemical Engineering and Materials Science, Army HPC Research Center, and Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, 55455, USA

    J. J. Derby, P. Daoutidis, Y. Kwon, A. Pandy, P. Sonda, B. Vartak & A Yeckel

  2. Department of Materials Science (WW6), University of Erlangen-Nürnberg, Erlangen, 91058, Germany

    M. Hainke & G. Müller

Authors
  1. J. J. Derby
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  2. P. Daoutidis
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  3. Y. Kwon
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  4. A. Pandy
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  5. P. Sonda
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  6. B. Vartak
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  7. A Yeckel
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  8. M. Hainke
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  9. G. Müller
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Strömungsmechanik (LSTM), Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstraße 4, 91058, Erlangen, Germany

    Michael Breuer  & Franz Durst  & 

  2. Institut für Informatik, Technische Universität München, 80290, München, Germany

    Christoph Zenger

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© 2002 Springer-Verlag Berlin Heidelberg

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Derby, J.J. et al. (2002). High-Performance Computing, Multi-Scale Models for Crystal Growth Systems. In: Breuer, M., Durst, F., Zenger, C. (eds) High Performance Scientific And Engineering Computing. Lecture Notes in Computational Science and Engineering, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55919-8_21

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  • DOI: https://doi.org/10.1007/978-3-642-55919-8_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42946-3

  • Online ISBN: 978-3-642-55919-8

  • eBook Packages: Springer Book Archive

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