Sampling rare events in nonequilibrium and nonstationary systems.

@article{Berryman2010SamplingRE,
  title={Sampling rare events in nonequilibrium and nonstationary systems.},
  author={J. T. Berryman and T. Schilling},
  journal={The Journal of chemical physics},
  year={2010},
  volume={133 24},
  pages={
          244101
        }
}
  • J. T. Berryman, T. Schilling
  • Published 2010
  • Mathematics, Medicine, Physics
  • The Journal of chemical physics
  • Although many computational methods for rare event sampling exist, this type of calculation is not usually practical for general nonequilibrium conditions, with macroscopically irreversible dynamics and away from both stationary and metastable states. A novel method for calculating the time-series of the probability of a rare event is presented which is designed for these conditions. The method is validated for the cases of the Glauber-Ising model under time-varying shear flow, the Kawasaki… CONTINUE READING
    33 Citations

    Figures and Topics from this paper

    Explore Further: Topics Discussed in This Paper

    Dynamical Rare Event Simulation Techniques for Equilibrium and Nonequilibrium Systems
    • 37
    • PDF
    Nonequilibrium Rare-Event Sampling
    • PDF
    Characterization of Rare Events in Molecular Dynamics
    • 39
    • PDF
    Non-stationary forward flux sampling.
    • 36
    • PDF
    Transition path sampling for non-equilibrium dynamics without predefined reaction coordinates.
    Efficient and exact sampling of transition path ensembles on Markovian networks.
    • 1
    Studying rare events using forward-flux sampling: Recent breakthroughs and future outlook.
    • 6
    • PDF

    References

    SHOWING 1-10 OF 62 REFERENCES
    Simulating rare events in equilibrium or nonequilibrium stochastic systems.
    • 247
    • PDF
    Forward flux sampling for rare event simulations.
    • 261
    • PDF
    Nonequilibrium umbrella sampling in spaces of many order parameters.
    • 60
    • PDF
    Multicanonical ensemble: A new approach to simulate first-order phase transitions.
    • Berg, Neuhaus
    • Physics, Medicine
    • Physical review letters
    • 1992
    • 1,141
    • PDF
    Monte Carlo results for the Ising model with shear.
    • 14
    • PDF
    Time-dependent correlation functions in a one-dimensional asymmetric exclusion process.
    • Schuetz
    • Physics, Medicine
    • Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
    • 1993
    • 64
    • PDF