Skip to Main content Skip to Navigation
Journal articles

Path factorization approach to stochastic simulations

Abstract : The computational efficiency of stochastic simulation algorithms is notoriously limited by the kinetic trapping of the simulated trajectories within low energy basins. Here we present a new method that overcomes kinetic trapping while still preserving exact statistics of escape paths from the trapping basins. The method is based on path factorization of the evolution operator and requires no prior knowledge of the underlying energy landscape. The efficiency of the new method is demonstrated in simulations of anomalous diffusion and phase separation in a binary alloy, two stochastic models presenting severe kinetic trapping.
Complete list of metadata

https://hal-cea.archives-ouvertes.fr/cea-03190120
Contributor : Bibliothèque Cadarache <>
Submitted on : Tuesday, April 6, 2021 - 10:10:24 AM
Last modification on : Monday, June 14, 2021 - 10:03:12 AM
Long-term archiving on: : Wednesday, July 7, 2021 - 6:18:53 PM

File

maAth.pdf
Publisher files allowed on an open archive

Identifiers

Collections

Citation

Manuel Athènes, Vasily Bulatov. Path factorization approach to stochastic simulations. Physical Review Letters, American Physical Society, 2014, 113 (23), pp.230601. ⟨10.1103/PhysRevLett.113.230601⟩. ⟨cea-03190120⟩

Share

Metrics

Record views

13

Files downloads

10