Kinetic roughening and nontrivial scaling in the Kardar-Parisi-Zhang growth with long-range temporal correlations

Abstract

Long-range spatiotemporal correlations may play important roles in nonequilibrium surface growth process. In order to investigate the effects of long-range temporal correlation on dynamic scaling of growing surfaces, we perform extensive numerical simulations of the (1+1)- and (2+1)-dimensional Kardar-Parisi-Zhang (KPZ) growth system in the presence of temporally correlated noise, and compare our results with previous theoretical predictions and numerical simulations. We find that surface morphologies are obviously affected with long-range temporal correlations, and as the temporal correlation exponent increases, the KPZ surfaces develop gradually faceted patterns in the saturated growth regimes. Our results show that the temporal correlated KPZ system displays evidently nontrivial dynamic properties when $0<\theta <0.5$, the characteristic roughness exponents satisfy $\alpha <{\alpha }_s$, and ${\alpha }_{loc}$ exhibiting non-universal scaling within local window sizes, which differs with the existing dynamic scaling classifications, both in the (1+1)- and (2+1)-dimensions.

30 pages,12 figures

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