Computation of nucleation of a non-equilibrium first-order phase transition using a rare-event algorithm

Abstract

We introduce a new Forward-Flux Sampling in Time (FFST) algorithm to efficiently measure transition times in rare-event processes in non-equilibrium systems, and apply it to study the first-order (discontinuous) kinetic transition in the Ziff-Gulari-Barshad model of catalytic surface reaction. The average time for the transition to take place, as well as both the spinodal and transition points, are clearly found by this method.

12 pages, 10 figures

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• Forward Flux Sampling for rare event simulations
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• Computing stationary distributions in equilibrium and non-equilibrium systems with Forward Flux Sampling
• Homogeneous nucleation under shear in a two-dimensional Ising model: cluster growth, coalescence and breakup
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Cited by in corpus (5)

• Studying Rare Events using Forward-Flux Sampling: Recent Breakthroughs and Future Outlook
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• Large-deviations of the SIR model around the epidemic threshold
• Noise induces rare events in granular media