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相关论文: Diffusion Limited Aggregation and Iterated Conform…

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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

In this paper, we analyze the scaling behavior of \emph{Diffusion Limited Aggregation} (DLA) simulated by Hastings-Levitov method. We obtain the fractal dimension of the clusters by direct analysis of the geometrical patterns in a good…

统计力学 · 物理学 2009-08-21 F. Mohammadi , A. A. Saberi , S. Rouhani

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

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

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

Using stochastic conformal mappings we study the effects of anisotropic perturbations on diffusion limited aggregation (DLA) in two dimensions. The harmonic measure of the growth probability for DLA can be conformally mapped onto a constant…

统计力学 · 物理学 2009-11-10 M. N. Popescu , H. G. E. Hentschel , F. Family

Diffusion-limited aggregation (DLA) assumes that particles perform pure random walk at a finite temperature and aggregate when they come close enough and stick together. Although it is well known that DLA in two dimensions results in a…

统计力学 · 物理学 2013-09-02 Li Deng , Yanting Wang , Zhong-Can Ou-Yang

In this paper, we present results of extensive Monte Carlo simulations of diffusion-limited aggregation (DLA) with a seed placed on an attractive plane as a simple model in connection with the electrical double layers. We compute the…

统计力学 · 物理学 2012-07-31 S. H. Ebrahimnazhad Rahbari , A. A. Saberi

A generalized form of the Hastings and Levitov (HL) algorithm for simulation of diffusion-limited aggregation (DLA) restricted in a sector geometry is studied. It is found that this generalization with uniform measure produces "wedge-like"…

统计力学 · 物理学 2010-08-09 F. Mohammadi , A. A. Saberi , S. Rouhani

Diffusion-limited cluster aggregation (DLCA) is a well established model for the formation of highly porous low-density non-equilibrium structures. One of the main conclusions of the previous studies considering this model is that the…

软凝聚态物质 · 物理学 2019-01-15 Swetlana Jungblut , Jan-Ole Joswig , Alexander Eychmüller

We extend the conformal mapping approach elaborated for the radial Diffusion Limited Aggregation model (DLA) to the cylindrical geometry. We introduce in particular a complex function which allows to grow a cylindrical cluster using as…

统计力学 · 物理学 2007-05-23 Alessandro Taloni , Emanuele Caglioti , Vittorio Loreto , Luciano Pietronero

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

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

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

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 develop a general theory of transport-limited aggregation phenomena occurring on curved surfaces, based on stochastic iterated conformal maps and conformal projections to the complex plane. To illustrate the theory, we use stereographic…

统计力学 · 物理学 2015-05-18 Jaehyuk Choi , Darren Crowdy , Martin Z. Bazant

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

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

We develop a technique for probing harmonic measure of the diffusion limited aggregation (DLA) cluster surface with the variable size particle and generate one thousand clusters with 50 million particles using original off-lattice…

无序系统与神经网络 · 物理学 2007-05-23 A. Yu. Menshutin , L. N. Shchur , V. M. Vinokur

In this paper, we analyze the scaling properties of a model that has as limiting cases the diffusion-limited aggregation (DLA) and the ballistic aggregation (BA) models. This model allows us to control the radial and angular scaling of the…

统计力学 · 物理学 2010-09-09 S. G. Alves , S. C. Ferreira
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