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

TL;DR

This study investigates how long-range temporal correlations influence surface growth in the KPZ model, revealing nontrivial scaling behaviors and faceted patterns that challenge existing dynamic scaling theories.

Contribution

It provides the first extensive numerical analysis of KPZ growth with long-range temporal correlations, showing non-universal local scaling and faceted morphologies.

Findings

Surface morphology is affected by temporal correlations.

Faceted patterns develop with increasing correlation exponent.

Non-universal local scaling behavior is observed.

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.