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We present a model for stable crack growth in a constrained geometry. The morphology of such cracks show scaling properties consistent with self affinity. Recent experiments show that there are two distinct self-affine regimes, one on small…

计算物理 · 物理学 2012-05-31 Knut Skogstrand Gjerden , Arne Stormo , Alex Hansen

We study stripe formation in two-dimensional systems under directional quenching in a phase-diffusion approximation including non-adiabatic boundary effects. We find stripe formation through simple traveling waves for all angles relative to…

偏微分方程分析 · 数学 2021-05-19 Kelly Chen , Zachary Deiman , Ryan Goh , Sally Jankovic , Arnd Scheel

Modeling of growth (or decay) curves arises in many fields such as microbiology, epidemiology, marketing, and econometrics. Parametric forms like Logistic and Gompertz are often used for modeling such monotonic patterns. While useful for…

统计方法学 · 统计学 2025-04-15 Rajesh Selukar

We study the growth of slip line in a plastically deforming crystal by numerical simulation of a double-ended pile-up model with a dislocation source at one end, and an absorbing wall at the other end. In presence of defects, the pile-up…

统计力学 · 物理学 2009-03-19 Fabio Leoni , Stefano Zapperi

We study numerically the phase-ordering kinetics of the two-dimensional site-diluted Ising model. The data can be interpreted in a framework motivated by renormalization-group concepts. Apart from the usual fixed point of the non-diluted…

统计力学 · 物理学 2013-12-10 Federico Corberi , Eugenio Lippiello , Anupam Mukherjee , Sanjay Puri , Marco Zannetti

We present a method to characterize the distribution of length-scales of finite, disordered patterns with, on average, radial symmetry. This method makes it possible to quantify the distribution of characteristic length scales in cases…

软凝聚态物质 · 物理学 2026-03-19 Andreas A. Hennig , Ilaria Beechey-Newman , Natalya Kizilova , Erika Eiser

We explore the phenomenon of spiral defect chaos in two types of generalized Swift-Hohenberg model equations that include the effects of long-range drift velocity or mean flow. We use spatially-extended domains and integrate the equations…

混沌动力学 · 物理学 2015-05-28 Alireza Karimi , Zhi-Feng Huang , Mark Paul

Scaling violations are found in the phase-ordering two-dimensional Heisenberg [$O(3)$] model, which has non-singular topological textures, under dissipative non-conserved dynamics. Three separate length-scales are found: $L_T$ characterizes…

凝聚态物理 · 物理学 2016-08-31 A. D. Rutenberg

Heterogeneous growth plays an important role in the shape and pattern formation of thin elastic structures ranging from the petals of blooming lilies to the cell walls of growing bacteria. Here we address the stability and regulation of…

软凝聚态物质 · 物理学 2018-06-05 Salem Al Mosleh , Ajay Gopinathan , Christian Santangelo

The growth of domains of stripes evolving from random initial conditions is studied in numerical simulations of models of systems far from equilibrium such as Rayleigh-Benard convection. The scaling of the size of the domains deduced from…

patt-sol · 物理学 2009-10-28 M. C. Cross , D. I. Meiron

We continue to study a model of disordered interface growth in two dimensions. The interface is given by a height function on the sites of the one--dimensional integer lattice and grows in discrete time: (1) the height above the site $x$…

概率论 · 数学 2007-05-23 Janko Gravner , Craig A. Tracy , Harold Widom

The cosmological evolution of topological defect networks can broadly be divided into two stages. At early times they are friction-dominated due to particle scattering and therefore non-relativistic, and may either be conformally stretched…

高能物理 - 唯象学 · 物理学 2016-12-30 C. J. A. P. Martins , I. Yu. Rybak , A. Avgoustidis , E. P. S. Shellard

Growth-fragmentation processes model systems of cells that grow continuously over time and then fragment into smaller pieces. Typically, on average, the number of cells in the system exhibits asynchronous exponential growth and, upon…

概率论 · 数学 2023-06-08 Emma Horton , Alexander R. Watson

On a variety of tasks, the performance of neural networks predictably improves with training time, dataset size and model size across many orders of magnitude. This phenomenon is known as a neural scaling law. Of fundamental importance is…

机器学习 · 统计学 2024-06-25 Blake Bordelon , Alexander Atanasov , Cengiz Pehlevan

Many materials contain extended defects of nanosize scale, such as dislocations, cracks, pores, polymorphic inclusions, and other embryos of competing phases. When one is interested not in the precise internal structure of a sample with…

统计力学 · 物理学 2022-01-27 V. I. Yukalov , E. P. Yukalova

We propose a general geometric growth model for pseudofractal scale-free web, which is controlled by two tunable parameters. We derive exactly the main characteristics of the networks: degree distribution, second moment of degree…

统计力学 · 物理学 2007-05-23 Zhongzhi Zhang , Lili Rong , Shuigeng Zhou

We show, that the specific distribution of gene's length, which is observed in natural genomes, might be a result of a growth process, in which a single length scale $L(t)$ develops that grows with time as $t^{1/3}$. This length scale could…

基因组学 · 定量生物学 2007-05-23 S. Cebrat , M. R. Dudek , P. Mackiewicz

The diffusional growth of wetting droplets on the boundary wall of a semi-infinite system is considered in different regions of a first-order wetting phase diagram. In a quasistationary approximation of the concentration field, a general…

凝聚态物理 · 物理学 2007-05-23 R. Burghaus

We revisit the velocity-dependent one-scale model for topological defect evolution, and present a new alternative formulation in terms of a physical (rather than invariant) characteristic length scale. While the two approaches are…

高能物理 - 唯象学 · 物理学 2016-03-09 C. J. A. P. Martins , M. M. P. V. P. Cabral

We proposed a deterministic multidimensional growth model for small-world networks. The model can characterize the distinguishing properties of many real-life networks with geometric space structure. Our results show the model possesses…

数据分析、统计与概率 · 物理学 2017-12-27 Aoyuan Peng , Lianming Zhang