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Title: Importance sampling large deviations in nonequilibrium steady states. I

Journal Article · · Journal of Chemical Physics
DOI:https://doi.org/10.1063/1.5003151· OSTI ID:1543844
 [1];  [1];  [2]
  1. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  2. Univ. of California, Berkeley, CA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Large deviation functions hold information on the stability and response of systems driven into nonequilibrium steady states and in such a way are similar to free energies for systems at equilibrium. As with equilibrium free energies, evaluating large deviation functions numerically for all but the simplest systems is difficult because by construction they depend on exponentially rare events. In this first paper of a series, we assess different trajectory-based sampling methods capable of computing large deviation functions of time integrated observables within nonequilibrium steady states. We highlight some convergence criteria and best practices using a number of different models, including a biased Brownian walker, a driven lattice gas, and a model of self-assembly. We show how two popular methods for sampling trajectory ensembles, transition path sampling and diffusion Monte Carlo, suffer from exponentially diverging correlations in trajectory space as a function of the bias parameter when estimating large deviation functions. Improving the efficiencies of these algorithms requires introducing guiding functions for the trajectories.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE Office of Science (SC)
OSTI ID:
1543844
Journal Information:
Journal of Chemical Physics, Vol. 148, Issue 12; ISSN 0021-9606
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 37 works
Citation information provided by
Web of Science

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Cited By (15)

Dynamical phase transitions for the activity biased Ising model in a magnetic field journalarticle January 2020
Variational control forces for enhanced sampling of nonequilibrium molecular dynamics simulations text January 2019
Direct evaluation of dynamical large-deviation rate functions using a variational ansatz journal November 2019
Rare Event Simulation for Stochastic Dynamics in Continuous Time journal June 2019
Variational design principles for nonequilibrium colloidal assembly text January 2020
Heat current fluctuations and anomalous transport in low-dimensional carbon lattices journal December 2019
Transition path sampling for non-equilibrium dynamics without predefined reaction coordinates journal January 2020
Dynamical phase behavior of the single- and multi-lane asymmetric simple exclusion process via matrix product states text January 2019
Rate constants in spatially inhomogeneous systems journal May 2019
A complete quasiclassical map for the dynamics of interacting fermions journal June 2019
Exact Fluctuations of Nonequilibrium Steady States from Approximate Auxiliary Dynamics journal May 2018
Variational control forces for enhanced sampling of nonequilibrium molecular dynamics simulations journal December 2019
Dynamical phase behavior of the single- and multi-lane asymmetric simple exclusion process via matrix product states journal August 2019
A complete quasiclassical map for the dynamics of interacting fermions text January 2019
Using matrix product states to study the dynamical large deviations of kinetically constrained models text January 2019

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