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Efficient transition path sampling for nonequilibrium stochastic dynamics
1Department of Chemistry, University of California at Berkeley, Berkeley 94720, USA.
Summary
Transition path sampling efficiently samples large fluctuations in nonequilibrium systems. This method simulates the Maier-Stein system at unprecedentedly low noise levels.
Area of Science:
- Statistical Mechanics
- Computational Physics
Background:
- Nonequilibrium systems exhibit complex dynamics.
- Simulating large fluctuations is computationally challenging.
Purpose of the Study:
- To adapt transition path sampling for efficient simulation of large fluctuations.
- To apply this method to the Maier-Stein system at low noise intensities.
Main Methods:
- Transition path sampling methodology.
- Langevin equations of motion.
- Simulation of the Maier-Stein system.
Main Results:
- Efficient sampling of large fluctuations achieved.
- Successful simulation of the Maier-Stein system at significantly lower noise intensities than previously possible.
Conclusions:
- Transition path sampling is effective for studying rare events in nonequilibrium systems.
- The adapted methodology enables simulations under previously inaccessible conditions.