Surface super-roughening driven by spatiotemporally correlated noise

TL;DR

This paper analytically investigates how long-range spatiotemporal correlated noise induces super-roughening in surface growth modeled by the Edwards-Wilkinson equation, revealing critical thresholds and anomalous exponents.

Contribution

It provides an analytical framework linking noise correlations to super-roughening and explains recent numerical observations in related models.

Findings

Super-roughening occurs with long-range noise correlations.

Analytical expressions for anomalous exponents are derived.

Super-roughening appears at the threshold where local slope becomes rough.

Abstract

We study the simple, linear, Edwards-Wilkinson equation that describes surface growth governed by height diffusion in the presence of spatiotemporally power-law decaying correlated noise. We analytically show that the surface becomes super-rough when the noise correlations spatio/temporal range is long enough. We calculate analytically the associated anomalous exponents as a function of the noise correlation exponents. We also show that super-roughening appears exactly at the threshold point where the local slope surface field becomes rough. In addition, our results indicate that the recent numerical finding of anomalous kinetic roughing of the Kardar-Parisi-Zhang model subject to temporally correlated noise may be inherited from the linear theory.