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Cluster dynamics modelling of materials: A new hybrid deterministic/stochastic coupling approach

  • Pierre Terrier
  • , Manuel Athènes
  • , Thomas Jourdan
  • , Gilles Adjanor
  • , Gabriel Stoltz
  • École des ponts
  • Université Paris-Saclay
  • Lamsid/EDF/R and D

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Deterministic simulations of the rate equations governing cluster dynamics in materials are limited by the number of equations to integrate. Stochastic simulations are limited by the high frequency of certain events. We propose a coupling method combining deterministic and stochastic approaches. It allows handling different time scale phenomena for cluster dynamics. This method, based on a splitting of the dynamics, is generic and we highlight two different hybrid deterministic/stochastic methods. These coupling schemes are highly parallelizable and specifically designed to treat large size cluster problems. The proof of concept is made on a simple model of vacancy clustering under thermal ageing.

Original languageEnglish
Pages (from-to)280-295
Number of pages16
JournalJournal of Computational Physics
Volume350
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • Cluster dynamics
  • Fokker–Planck equation
  • Langevin dynamics
  • Markov process
  • Stochastic simulations

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