Using discrete particles as a natural solver in simulating multiple-scale phenomena

W. Dzwinel, W. Alda, J. Kitowski, D. A. Yuen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We propose here the usage of different discrete particle methods for simulating both mesoscopic and macroscopic phenomena with hierarchical structures. Results of large-scale MD simulations of the Rayleigh-Taylor instability are shown and discussed. Using about one million Lennard-Jones particles, we have simulated particle fluid environments with a length scale of about 0.5 μm. For encompassing greater length and time scales, either more complex particle method or simplified MD model must be used. In the first case, we study dissipative particle dynamics (DPD) in modeling complex multi-component fluids flows, e.g., bubble formation, fluid flows in porous media, mixing driven by sedimentation. We also demonstrate how the particle method can be utilized for simulating a flexible surface with multiple scales present. We emphasize that the inherent parallelism of the MD method makes this approach a powerful natural solver of a wide variety of physical phenomena with multiple scales.

Original languageEnglish (US)
Pages (from-to)361-384
Number of pages24
JournalMolecular Simulation
Volume25
Issue number6
DOIs
StatePublished - 2000

Bibliographical note

Funding Information:
LBG simulation results. The work has been supported by the geosciences program of the US Department of Energy and partially by the Polish Committee for Scientific Research (KBN) Grant No. 8TllC00615.

Keywords

  • Discrete particles
  • Multiple scales
  • Rayleigh-Taylor instability

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