Proceedings of the Korea Association of Crystal Growth Conference (한국결정성장학회:학술대회논문집)
- 1997.06a
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- Pages.115-120
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- 1997
Modeling the Growth of Bulk Single Crystals via High Performance Computing
- Andrew Yeckel (Department of Chemical Engineering and Materials Science & Army High Performance Computing Research Center, University of Minnesota) ;
- Kwon, Yong-Il (Department of Chemical Engineering and Materials Science & Army High Performance Computing Research Center, University of Minnesota) ;
- Jeffrey J. Derby (Department of Chemical Engineering and Materials Science & Army High Performance Computing Research Center, University of Minnesota)
- Published : 1997.06.01
Abstract
We have developed new algorithms for solution of the three-dimensional, time-dependent Navier-Stokes equations that utilize massively parallel supercomputing implemented on the Connection Machine 5. Here, we apply these techniques to analyze he fluid flows that occur during the growth of the tow nonlinear optical crystals-potassium dihydrogen phosphate (KDP), which is producted in a novel rapid growth system under development by the Lawrence Livermore National Laboratory Laser Division, and Potassium titanyl phosphate(KTP), which is grown from a high-temperature aqueous solution.
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