Scalable parallel Monte Carlo algorithm for atomistic simulations of precipitation in alloys

By B. Sadigh, Paul Erhart, Alexander Stukowski, Alfredo Caro, E. Martínez, L. Zepeda-Ruiz. 2010

326 citations recorded by the source corpus.

We present an extension of the semi-grand-canonical (SGC) ensemble that we refer to as the variance-constrained semi-grand-canonical (VC-SGC) ensemble. It allows for transmutation Monte Carlo simulations of multicomponent systems in multiphase regions of the phase diagram and lends itself to scalable simulations on massively parallel platforms. By combining transmutation moves with molecular dynamics steps, structural relaxations and thermal vibrations in realistic alloys can be taken into account. In this way, we construct a robust and efficient simulation technique that is ideally suited for large-scale simulations of precipitation in multicomponent systems in the presence of structural disorder. To illustrate the algorithm introduced in this work, we study the precipitation of Cu in nanocrystalline Fe.

Subfields: Biomedical Engineering, Materials Chemistry, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/7fc90080ddc23d22f44c14d8b133145658c1f6a6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Yuri Mishin
  2. Alexander Stukowski
  3. Mark Asta

In Materials Chemistry

  1. Alexander Stukowski
  2. Yuri Mishin
  3. Mark Asta
  4. T. Frolov
  5. Zachary Trautt
  6. M. Yaghoobi
  7. George Z. Voyiadjis
  8. Alain Karma

In Mechanical Engineering

  1. Alexander Stukowski
  2. Yuri Mishin
  3. Mark Asta
  4. T. Frolov

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