Literature DB >> 26593821

Establishing Uniform Acceptance in Force Biased Monte Carlo Simulations.

E C Neyts1, B J Thijsse2, M J Mees3,4, K M Bal1, G Pourtois1,4.   

Abstract

Uniform acceptance force biased Monte Carlo (UFMC) simulations have previously been shown to be a powerful tool to simulate atomic scale processes, enabling one to follow the dynamical path during the simulation. In this contribution, we present a simple proof to demonstrate that this uniform acceptance still complies with the condition of detailed balance, on the condition that the characteristic parameter λ = 1/2 and that the maximum allowed step size is chosen to be sufficiently small. Furthermore, the relation to Metropolis Monte Carlo (MMC) is also established, and it is shown that UFMC reduces to MMC by choosing the characteristic parameter λ = 0 [Rao, M. et al. Mol. Phys.1979, 37, 1773]. Finally, a simple example compares the UFMC and MMC methods.

Year:  2012        PMID: 26593821     DOI: 10.1021/ct2008268

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  2 in total

1.  Atomic scale simulation of carbon nanotube nucleation from hydrocarbon precursors.

Authors:  Umedjon Khalilov; Annemie Bogaerts; Erik C Neyts
Journal:  Nat Commun       Date:  2015-12-22       Impact factor: 14.919

2.  Atomistic simulations of graphite etching at realistic time scales.

Authors:  D U B Aussems; K M Bal; T W Morgan; M C M van de Sanden; E C Neyts
Journal:  Chem Sci       Date:  2017-08-24       Impact factor: 9.825

  2 in total

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