2010
DOI: 10.1140/epjd/e2010-00268-3
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Carbon monoxide oxidation on Iridium (111) surfaces driven by strongly colored noise*

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Cited by 11 publications
(13 citation statements)
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“…Our results indicate that on the one hand small noise can have a surprising suppressing effect for the rare transitions, but on the other hand large noise induces reversible transitions between the stable states. This work continues the research by the authors on noise-induced transitions on other surfaces, mostly Iridium(111) 3,4,6,7,9,10,[21][22][23][24] .…”
Section: Introductionsupporting
confidence: 75%
See 1 more Smart Citation
“…Our results indicate that on the one hand small noise can have a surprising suppressing effect for the rare transitions, but on the other hand large noise induces reversible transitions between the stable states. This work continues the research by the authors on noise-induced transitions on other surfaces, mostly Iridium(111) 3,4,6,7,9,10,[21][22][23][24] .…”
Section: Introductionsupporting
confidence: 75%
“…11 shows the effect of the parameter g in the equilibrium states of the proposed model defined in Eqns. (2)(3)(4)(5)(6). As a larger value of g (a larger surface to volume quotient) is used, the location of the right-most fold (Y h ) is shifted to the right and the UR branch increases its range of existence.…”
Section: Model and Simulationsmentioning
confidence: 99%
“…Other works 30,33 have used an Ornstein-Uhlenbeck process to account for the temporal correlation of ζ . This process has a number of convenient features: κ ζ (t) decays exponentially, and ζ (t) can be expressed as the result of a linear Langevin equation that should be included besides the equations for u and v. But in experiments t exp is usually between 3 and 100 s and Y of order one, contradicting the main assumptions behind the Ornstein-Uhlenbeck process.…”
Section: The External Noisementioning
confidence: 99%
“…30, the most general answer to the first exit time problem from UR to LR is given by the adjoint stochastic Liouville equation for G(u, v, ζ, t), the probability that a trajectory that started in t = 0 at (u, v, ζ ) will remain inside certain region R after time t. The evolution of G is given by the adjoint of Eq. (17):…”
Section: First Exit Time Problemmentioning
confidence: 99%
“…To extend the adiabatic reduction technique used in this paper to the case of stochastic reaction-diffusion systems is also an interesting challenge in surface reactions. The case of external colored noise and non-Gaussian white noise may be also considered in future works [1,23].…”
Section: Discussionmentioning
confidence: 99%