Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-04-11
Phys. Rev. Lett. 87,187002 (2001)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 2 figures
Scientific paper
10.1103/PhysRevLett.87.187002
Within a recently developed framework of dynamical Monte Carlo algorithms, we compute the roughness exponent $\zeta$ of driven elastic strings at the depinning threshold in 1+1 dimensions for different functional forms of the (short-range) elastic energy. A purely harmonic elastic energy leads to an unphysical value for $\zeta$. We include supplementary terms in the elastic energy of at least quartic order in the local extension. We then find a roughness exponent of $\zeta \simeq 0.63$, which coincides with the one obtained for different cellular automaton models of directed percolation depinning. The quartic term translates into a nonlinear piece which changes the roughness exponent in the corresponding continuum equation of motion. We discuss the implications of our analysis for higher-dimensional elastic manifolds in disordered media.
Krauth Werner
Rosso Alberto
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