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Massively-Parallel Dislocation Dynamics Simulations.

DE200415007878

Publication Date	2003
Personal Author	Cai, W.; Bulatov, V. V.; Pierce, T. G.; Hiratani, M.; Rhee, M.
Page Count	18
Abstract	Prediction of the plastic strength of single crystals based on the collective dynamics of dislocations has been a challenge for computational materials science for a number of years. The difficulty lies in the inability of the existing dislocation dynamics (DD) codes to handle a sufficiently large number of dislocation lines, in order to be statistically representative and to reproduce experimentally observed microstructures. A new massively-parallel DD code is developed that is capable of modeling million-dislocation systems by employing thousands of processors. We discuss the general aspects of this code that make such large scale simulations possible, as well as a few initial simulation results.
Keywords	Parallel computation Dislocations Parallel processing Crystals Computational materials science Dislocation lines Processors Simulation Plasticity DD codes
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200509

Massively-Parallel Dislocation Dynamics Simulations.

Massively-Parallel Dislocation Dynamics Simulations.
DE200415007878

Publication Date	2003
Personal Author	Cai, W.; Bulatov, V. V.; Pierce, T. G.; Hiratani, M.; Rhee, M.
Page Count	18
Abstract	Prediction of the plastic strength of single crystals based on the collective dynamics of dislocations has been a challenge for computational materials science for a number of years. The difficulty lies in the inability of the existing dislocation dynamics (DD) codes to handle a sufficiently large number of dislocation lines, in order to be statistically representative and to reproduce experimentally observed microstructures. A new massively-parallel DD code is developed that is capable of modeling million-dislocation systems by employing thousands of processors. We discuss the general aspects of this code that make such large scale simulations possible, as well as a few initial simulation results.
Keywords	Parallel computation Dislocations Parallel processing Crystals Computational materials science Dislocation lines Processors Simulation Plasticity DD codes
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200509