Stochastic O(N) algorithm for dislocation dynamics

B. Bakó, I. Groma

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

A new computer simulation method based on stochastic integration of the Langevin equations of dislocation motion is proposed for the investigation of the dynamic properties of a system of parallel straight dislocations. The stochastic approach developed for weakly correlated dislocation systems allows for more than 106 dislocations in the simulation area. Relaxation of a system of 220 parallel edge dislocations is presented.

Original languageEnglish
Pages (from-to)181-188
Number of pages8
JournalModelling and Simulation in Materials Science and Engineering
Volume7
Issue number2
DOIs
Publication statusPublished - Mar 1999

Fingerprint

Dislocation Dynamics
Edge dislocations
Dislocation
Computer simulation
edge dislocations
Stochastic Integration
dynamic characteristics
Langevin Equation
Dynamic Properties
computerized simulation
Simulation Methods
Straight
Computer Simulation
Motion
simulation
Simulation

ASJC Scopus subject areas

  • Materials Science(all)
  • Modelling and Simulation
  • Physics and Astronomy (miscellaneous)

Cite this

Stochastic O(N) algorithm for dislocation dynamics. / Bakó, B.; Groma, I.

In: Modelling and Simulation in Materials Science and Engineering, Vol. 7, No. 2, 03.1999, p. 181-188.

Research output: Contribution to journalArticle

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