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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…

Disordered Systems and Neural Networks · Physics 2007-05-23 A. Yu. Menshutin , L. N. Shchur , V. M. Vinokur

We measure the multiscaling behavior of large off-lattice diffusion limited aggregates (DLA). In contrast to previous studies we now find a continuous dependence of the multiscaling dimensions $D(x)$ on the relative distance $x=r/R_g$ to…

Condensed Matter · Physics 2009-10-22 Peter Ossadnik

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…

Statistical Mechanics · Physics 2017-11-08 Denis S. Grebenkov , Dmitry Beliaev

Off-lattice DLA clusters grown with different levels of noise reduction are found to be consistent with a simple fractal fixed point. Cluster shapes and their ensemble variation exhibit a dominant slowest correction to scaling, and this…

Statistical Mechanics · Physics 2007-05-23 Robin C. Ball , Neill E. Bowler , Leonard M. Sander , Ellak Somfai

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…

Condensed Matter · Physics 2007-05-23 P. Ossadnik , C. -H. Lam , L. M. Sander

A finite size effect in the probing of the harmonic measure in simulation of diffusion-limited aggregation (DLA) growth is investigated. We introduce a variable size of probe particles, to estimate harmonic measure and extract the fractal…

Statistical Mechanics · Physics 2008-10-02 Anton Yu. Menshutin , Lev N. Shchur , Valery M. Vinokour

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…

Chaotic Dynamics · Physics 2007-05-23 A. Loskutov , D. Andrievsky , V. Ivanov , K. Vasiliev , A. Ryabov

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…

Statistical Mechanics · Physics 2013-09-02 Li Deng , Yanting Wang , Zhong-Can Ou-Yang

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…

Statistical Mechanics · Physics 2009-08-21 F. Mohammadi , A. A. Saberi , S. Rouhani

When suitably rescaled, the distribution of the angular gaps between branches of off-lattice radial DLA is shown to approach a size-independent limit. The power-law expected from an asymptotic fractal dimension D=1.71 arises only for very…

Statistical Mechanics · Physics 2020-04-08 Benoit B. Mandelbrot , Boaz Kol , Amnon Aharony

We identify sources of systematic error in traditional simulations of the Witten-Sander model of diffusion-limited aggregation (DLA) on a square lattice. We present an algorithm that reduces these biases to below $10^{-12}$. We grow…

Disordered Systems and Neural Networks · Physics 2014-07-10 Yen Lee Loh

Several models based on the diffusion-limited aggregation (DLA) model were proposed and their scaling properties explored by computational and theoretical approaches. In this paper, we consider a new extension of the on-lattice DLA model in…

Statistical Mechanics · Physics 2009-11-10 S. C. Ferreira

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…

Statistical Mechanics · Physics 2026-01-07 Satish Prajapati

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…

Statistical Mechanics · Physics 2007-05-23 Benny Davidovich , Itamar Procaccia

Laplacian growth, associated to the diffusion-limited aggregation (DLA) model or the more general dielectric-breakdown model (DBM), is a fundamental out-of-equilibrium process that generates structures with characteristic…

Statistical Mechanics · Physics 2018-05-04 J. R. Nicolás-Carlock , J. L. Carrillo-Estrada

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…

Statistical Mechanics · Physics 2021-02-17 Eviatar B. Procaccia , Itamar Procaccia

Results from a modified Diffusion Limited Aggregation (DLA) model are presented. The modifications of the classical DLA model are in the attachment to the cluster rules and in the scheme of particle generation/killing. In the classical DLA…

Mesoscale and Nanoscale Physics · Physics 2011-05-30 Bogdan Ranguelov , Desislava Goranova , Vesselin Tonchev , Rositsa Yakimova

Two-dimensional structures grown with Witten and Sander algorithm are investigated. We analyze clusters grown off-lattice and clusters grown with antenna method with $N_{fp}=3,4,5,6,7$ and 8 allowed growth directions. With the help of…

Statistical Mechanics · Physics 2015-05-19 Anton Yu. Menshutin , Lev. N. Shchur

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…

Statistical Mechanics · Physics 2009-10-31 Benny Davidovitch , Anders Levermann , Itamar Procaccia

In clustering we normally output one cluster variable for each datapoint. However it is not necessarily the case that there is only one way to partition a given dataset into cluster components. For example, one could cluster objects by…

Machine Learning · Computer Science 2019-12-05 Matthew Willetts , Stephen Roberts , Chris Holmes
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