Theoretical Continuous Equation Derived from the Microscopic Dynamics for Growing Interfaces in Quenched Media
arXiv:cond-mat/9908343 · doi:10.1103/PhysRevE.62.3920
Abstract
We present an analytical continuous equation for the Tang and Leschhorn model [Phys. Rev A {\bf 45}, R8309 (1992)] derived from his microscopic rules using a regularization procedure. As well in this approach the nonlinear term arises naturally from the microscopic dynamics even if the continuous equation is not the Kardar-Parisi-Zhang equation [Phys. Rev. Lett. {\bf 56}, 889 (1986)] with quenched noise (QKPZ). Our equation looks like a QKPZ but with multiplicative quenched and thermal noise. The numerical integration of our equation reproduce the scaling exponents of the roughness of this directed percolation depinning model.
8 pages, 4 figures. Submitted to Phys. Rev. E (Rapid Comunication)
References in corpus (9)
- Driven Depinning in Anisotropic Media
- Universality Classes for Interface Growth with Quenched Disorder
- Avalanches and the Directed Percolation Depinning Model: Experiments, Simulations and Theory
- Noisy Kuramoto-Sivashinsky equation for an erosion model
- Temporal Scaling of Interfaces Propagating in Porous Media
- Anisotropic Interface Depinning - Numerical Results
- Driven interfaces in disordered media: determination of universality classes from experimental data
- Microscopic equation for growing interfaces in quenched disordered media
- Directed percolation depinning models: Evolution equations
Cited by in corpus (7)
- Origin of the roughness exponent in elastic strings at the depinning threshold
- Universal Behavior of the Coefficients of the Continuous Equation in Competitive Growth Models
- Evolution equation for a model of surface relaxation in complex networks
- Generalized discretization of the Kardar-Parisi-Zhang equation
- Conservative model for synchronization problems in complex networks
- Model for domain wall avalanches in ferromagnetic thin films
- A mechanism to synchronize fluctuations in scale free networks using growth models