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Although many computational methods for rare event sampling exist, this typeof calculation is not usually practical for general nonequilibrium conditions,with macroscopically irreversible dynamics and away from both stationary andmetastable states. A novel method for calculating the time-series of theprobability of a rare event is presented which is designed for theseconditions. The method is validated for the cases of the Glauber-Ising modelunder time-varying shear flow, the Kawasaki-Ising model after a quench into theregion between nucleation dominated and spinodal decomposition dominated phasechange dynamics, and the parallel open asymmetric exclusion process (p-o ASEP).The method requires a subdivision of the phase space of the system: it isbenchmarked and found to scale well for increasingly fine subdivisions, meaningthat it can be applied without detailed foreknowledge of the physicallyimportant reaction pathways.

A General Algorithm for Sampling Rare Events in Non-Equilibrium and Non-Stationary Systems