BECAS
ALÉS Alejandro
artículos
Título:
Surface super-roughening driven by spatiotemporally correlated noise
Autor/es:
ALÉS, ALEJANDRO; LÓPEZ, JUAN M
Revista:
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
Editorial:
IOP PUBLISHING LTD
Referencias:
Año: 2020 vol. 2020
ISSN:
1742-5468
Resumen:
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.