Stable algorithm for event detection in event-driven particle dynamics

Marcus N. Bannerman, Severin Strobl, Arno Formella, Thorsten Poeschel

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Event-driven particle dynamics is a fast and precise method to simulate particulate systems of all scales. In this work it is demonstrated that, despite the high accuracy of the method, the finite machine precision leads to simulations entering invalid states where the dynamics are undefined. A general event-detection algorithm is proposed which handles these situations in a stable and efficient manner. This requires a definition of the dynamics of invalid states and leads to improved algorithms for event-detection in hard-sphere systems.
Original languageEnglish
Pages (from-to)191-198
Number of pages8
JournalComputational Particle Mechanics
Volume1
Issue number2
Early online date1 May 2014
DOIs
Publication statusPublished - Jun 2014

Keywords

  • DEM
  • event-driven
  • molecular dynamics
  • hard sphere
  • collision detection

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