title: Application of importance sampling to the computation of large deviations in nonequilibrium processes.
abstract: We present an algorithm for finding the probabilities of rare events in nonequilibrium processes. The algorithm consists of evolving the system with a modified dynamics for which the required event occurs more frequently. By keeping track of the relative weight of phase-space trajectories generated by the modified and the original dynamics one can obtain the required probabilities. The algorithm is tested on two model systems of steady-state particle and heat transport where we find a huge improvement from direct simulation methods.
authors.affiliation: Raman Research Institute, Bangalore 560080, India.
authors.forename: Anupam
authors.initials: A
authors.lastname: Kundu
authors.forename: Sanjib
authors.initials: S
authors.lastname: Sabhapandit
authors.forename: Abhishek
authors.initials: A
authors.lastname: Dhar
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006358:Hot Temperature; D008954:Models, Biological; D015233:Models, Statistical; D036103:Nanotechnology / Q000379:methods; D016011:Normal Distribution; D011336:Probability; D015203:Reproducibility of Results