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arXiv 2102.13356cond-mat.stat-mech
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具有长程时间相关的Kardar-Parisi-Zhang增长中的动力学粗化和非平凡标度

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

Tianshu Song, Hui Xia

摘要:

长程时空关联在非平衡表面生长过程中可能起着重要作用。为了研究长程时间关联对生长表面动力学标度的影响,我们对存在时间关联噪声的(1+1)维和(2+1)维Kardar-Parisi-Zhang(KPZ)生长系统进行了大量的数值模拟,并将我们的结果与以前的理论预测和数值模拟进行了比较.我们发现,表面形貌明显的影响与长期的时间相关性,并随着时间相关指数的增加,KPZ表面发展逐渐刻面图案的饱和生长制度。结果表明,当特征粗糙度指数$0<θ<0.5$满足$α<α_s$时,时间相关的KPZ系统表现出明显的非平凡动力学性质,并且$α_{loc}$在局部窗口尺度内表现出非普适标度,这与已有的动力学标度分类在(1+1)维和(2+1)维上都不同.

英文摘要:

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 $0<θ<0.5$, the characteristic roughness exponents satisfy $α<α_s$, and $α_{loc}$ 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.

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