Speeding up Monte Carlo molecular simulation by a non-conservative early rejection scheme

Ahmad Salim Kadoura, Amgad Salama, Shuyu Sun

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Monte Carlo (MC) molecular simulation describes fluid systems with rich information, and it is capable of predicting many fluid properties of engineering interest. In general, it is more accurate and representative than equations of state. On the other hand, it requires much more computational effort and simulation time. For that purpose, several techniques have been developed in order to speed up MC molecular simulations while preserving their precision. In particular, early rejection schemes are capable of reducing computational cost by reaching the rejection decision for the undesired MC trials at an earlier stage in comparison to the conventional scheme. In a recent work, we have introduced a ‘conservative’ early rejection scheme as a method to accelerate MC simulations while producing exactly the same results as the conventional algorithm. In this paper, we introduce a ‘non-conservative’ early rejection scheme, which is much faster than the conservative scheme, yet it preserves the precision of the method. The proposed scheme is tested for systems of structureless Lennard-Jones particles in both canonical and NVT-Gibbs ensembles. Numerical experiments were conducted at several thermodynamic conditions for different number of particles. Results show that at certain thermodynamic conditions, the non-conservative method is capable of doubling the speed of the MC molecular simulations in both canonical and NVT-Gibbs ensembles. © 2015 Taylor & Francis
Original languageEnglish (US)
Pages (from-to)229-241
Number of pages13
JournalMolecular Simulation
Volume42
Issue number3
DOIs
StatePublished - Apr 23 2015

ASJC Scopus subject areas

  • Modeling and Simulation
  • General Materials Science
  • General Chemical Engineering
  • General Chemistry
  • Information Systems
  • Condensed Matter Physics

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