Abstract:We present an analytical continuous equation for the Tang and Leschhorn model [Phys. Rev. A 45, R8309 (1992)] derived from their microscopic rules using a regularization procedure. As well in this approach, the nonlinear term (nablah)(2) arises naturally from the microscopic dynamics even if the continuous equation is not the Kardar-Parisi-Zhang equation [Phys. Rev. Lett. 56, 889 (1986)] with quenched noise (QKPZ). Our equation is similar to a QKPZ equation but with multiplicative quenched and thermal noise. T… Show more
“…For a given parameter p ∈ [0, 1], if ξ(i, k) ≤ p the node (i, k) is active, otherwise is inactive. To characterize the disorder in the lattice we use the activity function [23] where θ(x) is the unit step function defined as θ(x) = 1 for x ≥ 0 and θ(x) = 0 for x < 0. A dipole located at the nodes of the DW has perpendicular component to the easy direction.…”
The Barkhausen jumps or avalanches in magnetic domain-walls motion between succesive pinned configurations, due the competition among magnetic external driving force and substrum quenched disorder, appear in bulk materials and thin films. We introduce a model based in rules for the domain wall evolution of ferromagnetic media with exchange or short-range interactions, that include disorder and driving force effects. We simulate in 2-dimensions with Monte Carlo dynamics,
“…For a given parameter p ∈ [0, 1], if ξ(i, k) ≤ p the node (i, k) is active, otherwise is inactive. To characterize the disorder in the lattice we use the activity function [23] where θ(x) is the unit step function defined as θ(x) = 1 for x ≥ 0 and θ(x) = 0 for x < 0. A dipole located at the nodes of the DW has perpendicular component to the easy direction.…”
The Barkhausen jumps or avalanches in magnetic domain-walls motion between succesive pinned configurations, due the competition among magnetic external driving force and substrum quenched disorder, appear in bulk materials and thin films. We introduce a model based in rules for the domain wall evolution of ferromagnetic media with exchange or short-range interactions, that include disorder and driving force effects. We simulate in 2-dimensions with Monte Carlo dynamics,
“…where G i represents the deterministic growth rules that cause evolution of the node i, τ = Nδt is the mean time to grow a layer of the interface, and η i is a Gaussian noise with zero mean and covariance given by [18,19] …”
In this paper we derive analytically the evolution equation of the interface for a model of surface growth with relaxation to the minimum (SRM) in complex networks. We were inspired by Even though for Euclidean lattices the evolution equation is linear, we find that in complex heterogeneous networks non-linear terms appear due to the heterogeneity and the lack of symmetry of the network; they produce a logarithmic divergency of the saturation roughness with the system size as found by Pastore y Piontti et al. for λ < 3.
“…The master equation approach is the usual methodology to calculate the kinetic equations. However, this formulation cannot always be applied in a straightforward way, particularly for irreversible kinetics like the irreversible growth models [15,16].…”
Section: Lattice Gas Model the Local Evolution Rules And The Rate Eqmentioning
confidence: 99%
“…This technique, the so-called local evolution rules, has been used in different systems in the past, as for example in the irreversible growth models [15,16], adsorption-desorption kinetics of molecules with multisite occupancy [17][18][19], models of surface reactions [20], etc. Taking into account the characteristics of the system, we describe the evolution of a generic site ''i'', in the following way: at time t a given site i can be empty, occupied by a monomer or by the left/right part of a dimer.…”
Section: Lattice Gas Model the Local Evolution Rules And The Rate Eqmentioning
confidence: 99%
“…This approach is the so-called local evolution rules, and was used to describe the irreversible growth models, particularly to derive the Langevin equations in (1 + 1)-dimensional systems [15,16], as well as, the dimer kinetics in a one-dimensional lattice [17]. The method is based on the definition of the local Hamiltonian and after monitoring the time evolution of a chosen site and averaging adequately, a hierarchy of coupled differential equations is obtained for the coverage and higher correlators.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.