Computing transition rates for the 1-D stochastic Ginzburg-Landau-Allen-Cahn equation for finite-amplitude noise with a rare event algorithm

DOI10.1007/s10955-015-1417-4zbMath1334.35330arXiv1507.05577OpenAlexW3102171281MaRDI QIDQ271705

Eric Simonnet, Freddy Bouchet, Joran Rolland

Publication date: 7 April 2016

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.05577

zbMATH Keywords

instantonslarge deviationsadaptive multilevel splittingreactive trajectories

Mathematics Subject Classification ID

Related Items (14)

Application of adaptive multilevel splitting to high-dimensional dynamical systems ⋮ Coupling rare event algorithms with data-based learned committor functions using the analogue Markov chain ⋮ Large deviations approach to a one-dimensional, time-periodic stochastic model of pattern formation ⋮ Computing non-equilibrium trajectories by a deep learning approach ⋮ Numerical study of extreme mechanical force exerted by a turbulent flow on a bluff body by direct and rare-event sampling techniques ⋮ Metadynamics for Transition Paths in Irreversible Dynamics ⋮ On a new class of score functions to estimate tail probabilities of some stochastic processes with adaptive multilevel splitting ⋮ Finite size analysis of a double crossover in transitional wall turbulence ⋮ Computing return times or return periods with rare event algorithms ⋮ An efficient algorithm to estimate the potential barrier height from noise-induced escape time data ⋮ Collapse of transitional wall turbulence captured using a rare events algorithm ⋮ Parametric Hamilton’s equations for stochastic systems ⋮ Gel’fand–Yaglom type equations for calculating fluctuations around instantons in stochastic systems ⋮ Instantons for rare events in heavy-tailed distributions

Uses Software

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