Kardar-Parisi-Zhang growth on square domains that enlarge nonlinearly in time
Ismael S. S. Carrasco, Tiago J. Oliveira

TL;DR
This study investigates 2D KPZ growth on expanding square substrates, revealing how substrate growth rate influences interface correlation, roughness, and height distribution, and providing a precise estimate of the 2D KPZ roughness exponent.
Contribution
It introduces a detailed analysis of 2D KPZ growth on nonlinearly enlarging domains, accurately estimating the roughness exponent and characterizing the transition between different fluctuation regimes.
Findings
For b3 < 1/z, the interface is fully correlated with roughness scaling as t^{2b1b3}.
Estimated the 2D KPZ roughness exponent as b1 = 0.387(1).
Height distributions and covariances match steady-state 2D KPZ for flat geometry in the correlated regime.
Abstract
We study discrete KPZ growth models deposited on square lattice substrates, whose (average) lateral size enlarges as . Our numerical simulations reveal that the competition between the substrate expansion and the increase of the correlation length parallel to the substrate, , gives rise to a number of interesting results. For instance, when the interface becomes fully correlated, but its squared roughness, , keeps increasing as , as previously observed for 1D systems. A careful analysis of this scaling, accounting for an intrinsic width on it, allows us to estimate the roughness exponent of the 2D KPZ class as , which is very accurate and robust, once it was obtained averaging the exponents for different models and growth conditions (i.e., for various 's and…
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