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相关论文: The fractal dimensions of Laplacian growth: an ana…

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Diffusion-Limited Aggregation (DLA), the canonical model for non-equilibrium fractal growth, emerges from the simple rule of irreversible attachment by random walkers. Despite four decades of study, a unified computational framework…

统计力学 · 物理学 2026-01-07 Satish Prajapati

We analyze the combined effect of a Laplacian field and quenched disorder for the generation of fractal structures with a study, both numerical and theoretical, of the quenched dielectric breakdown model (QDBM). The growth dynamics is shown…

无序系统与神经网络 · 物理学 2009-10-30 R. Cafiero , A. Gabrielli , M. Marsili , L. Pietronero , L. Torosantucci

We study the fractal and multifractal properties (i.e. the generalized dimensions of the harmonic measure) of a 2-parameter family of growth patterns that result from a growth model that interpolates between Diffusion Limited Aggregation…

统计力学 · 物理学 2009-11-07 H. George E. Hentschel , Anders Levermann , Itamar Procaccia

Diffusion Limited Aggregation (DLA) is a model of fractal growth that was introduced in 1981 and had since attained a paradigmatic status due to its simplicity and its underlying role for a variety of pattern forming processes. Despite…

统计力学 · 物理学 2007-05-23 Benny Davidovich , Itamar Procaccia

We study the growth of fractal clusters in the Dielectric Breakdown Model (DBM) by means of iterated conformal mappings. In particular we investigate the fractal dimension and the maximal growth site (measured by the Hoelder exponent…

统计力学 · 物理学 2009-11-13 Joachim Mathiesen , Mogens H. Jensen , Jan Oystein Haavig Bakke

We employ the recently introduced conformal iterative construction of Diffusion Limited Aggregates (DLA) to study the multifractal properties of the harmonic measure. The support of the harmonic measure is obtained from a dynamical process…

chao-dyn · 物理学 2009-10-31 Benny Davidovich , Itamar Procaccia

Stochastic growth processes give rise to diverse intricate structures everywhere and across all scales in nature. Despite the seemingly unrelated complex phenomena at their origin, the Laplacian growth theory has succeeded in unifying their…

统计力学 · 物理学 2016-05-31 J. R. Nicolás-Carlock , J. L. Carrillo-Estrada , V. Dossetti

The diffusion limited aggregation model (DLA) and the more general dielectric breakdown model (DBM) are solved exactly in a two dimensional cylindrical geometry with periodic boundary conditions of width 2. Our approach follows the exact…

统计力学 · 物理学 2009-10-31 Boaz Kol , Amnon Aharony

The method of iterated conformal maps for the study of Diffusion Limited Aggregates (DLA) is generalized to the study of Laplacian Growth Patterns and related processes. We emphasize the fundamental difference between these processes: DLA…

统计力学 · 物理学 2009-11-07 Felipe Barra , Benny Davidovitch , Itamar Procaccia

Diffusion Limited Aggregation (DLA) is a model of fractal growth that had attained a paradigmatic status due to its simplicity and its underlying role for a variety of pattern forming processes. We present a convergent calculation of the…

统计力学 · 物理学 2009-10-31 Benny Davidovitch , Anders Levermann , Itamar Procaccia

Predicting urban growth is important for practical reasons, and also for the challenge it presents to theoretical frameworks for cluster dynamics. Recently, the model of diffusion limited aggregation (DLA) has been applied to describe urban…

凝聚态物理 · 物理学 2007-05-23 Hernan A. Makse , Shlomo Havlin , H. Eugene Stanley

Aggregation phenomena are ubiquitous in nature, encompassing out-of-equilibrium processes of fractal pattern formation, important in many areas of science and technology. Despite their simplicity, foundational models such as…

统计力学 · 物理学 2016-05-31 J. R. Nicolás-Carlock , J. L. Carrillo-Estrada , V. Dossetti

The paper suggests a generalisation of the diffusion-limited aggregation (DLA) based on using a general stochastic process to control particle movements before sticking to a growing cluster. This leads to models with variable…

统计力学 · 物理学 2007-05-23 Ilya Molchanov

We present dla-ideal-solver, a high-performance framework for simulating two-dimensional Diffusion-Limited Aggregation (DLA) using Numba-accelerated Python. By leveraging just-in-time (JIT) compilation, we achieve computational throughput…

A theoretical model for fractal growth of DLA-clusters in two- and three-dimensional Euclidean space is proposed. This model allows to study some statistical properties of growing clusters in two different situations: in the static case…

混沌动力学 · 物理学 2007-05-23 A. Loskutov , D. Andrievsky , V. Ivanov , K. Vasiliev , A. Ryabov

We study the fractal structure of Diffusion-Limited Aggregation (DLA) clusters on the square lattice by extensive numerical simulations (with clusters having up to $10^8$ particles). We observe that DLA clusters undergo strongly anisotropic…

统计力学 · 物理学 2017-11-08 Denis S. Grebenkov , Dmitry Beliaev

Diffusion Limited Aggregation (DLA) has served for forty years as a paradigmatic example for the creation of fractal growth patterns. In spite of thousands of references no exact result for the fractal dimension $D$ of DLA is known. In this…

统计力学 · 物理学 2021-02-17 Eviatar B. Procaccia , Itamar Procaccia

Models of fractal growth commonly consider particles diffusing in a medium and that stick irreversibly to the forming aggregate when making contact for the first time. As shown by the well-known diffusion limited aggregation (DLA) model and…

统计力学 · 物理学 2023-10-19 Uriel Villanueva-Alcalá , José R. Nicolás-Carlock , Denis Boyer

In analogy to recent results on non-universal roughening in surface growth [Lam and Sander, Phys. Rev. Lett. {\bf 69}, 3338 (1992)], we propose a variant of diffusion-limited aggregation ($DLA$) in which the radii of the particles are…

凝聚态物理 · 物理学 2007-05-23 P. Ossadnik , C. -H. Lam , L. M. Sander

We propose a generalized version of the Dielectric Breakdown Model (DBM) for generic breakdown processes. It interpolates between the standard DBM and its analog with quenched disorder, as a temperature like parameter is varied. The physics…

凝聚态物理 · 物理学 2016-08-31 R. Cafiero , A. Gabrielli , M. Marsili , M. A. Muñoz , L. Pietronero
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