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Related papers: IDLA on the Supercritical Percolation Cluster

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Internal Diffusion Limited Aggregation (IDLA) is a model that describes the growth of a random aggregate of particles from the inside out. Shellef proved that IDLA processes on supercritical percolation clusters of integer-lattices fill…

Probability · Mathematics 2011-11-03 Hugo Duminil-Copin , Cyrille Lucas , Ariel Yadin , Amir Yehudayoff

Internal diffusion-limited aggregation (IDLA) is a stochastic growth model on a graph $G$ which describes the formation of a random set of vertices growing from the origin (some fixed vertex) of $G$. Particles start at the origin and…

Probability · Mathematics 2020-08-26 Joe P. Chen , Wilfried Huss , Ecaterina Sava-Huss , Alexander Teplyaev

Internal Diffusion Limited Aggregation is an interacting particle system that describes the growth of a random cluster governed by the boundary harmonic measure seen from an internal point. Our paper studies IDLA in $\mathbb{Z}^d$ driven by…

Probability · Mathematics 2025-10-16 Amine Asselah , Vittoria Silvestri , Lorenzo Taggi

We study internal diffusion-limited aggregation with random starting points on Z^d. In this model, each new particle starts from a vertex chosen uniformly at random on the existing aggregate. We prove that the limiting shape of the…

Probability · Mathematics 2021-10-07 Itai Benjamini , Hugo Duminil-Copin , Gady Kozma , Cyrille Lucas

In the Diffusion Limited Aggregation (DLA) process on on $\mathbb{Z}^2$, or more generally $\mathbb{Z}^d$, particles aggregate to an initially occupied origin by arrivals on a random walk. The scaling limit of the result, empirically, is a…

Probability · Mathematics 2017-12-25 Alan Frieze , Wesley Pegden

Internal diffusion limited aggregation (IDLA) is a random aggregation model on a graph $G$, whose clusters are formed by random walks started in the origin (some fixed vertex) and stopped upon visiting a previously unvisited site. On the…

Probability · Mathematics 2022-02-04 Nico Heizmann

We build the iDLA cluster using drifted random walks, and study the limiting shapes they exhibit, with the help of sandpile models. For constant drift, the normalised cluster converges to a canonical shape S, which can be termed a true heat…

Probability · Mathematics 2013-02-19 Cyrille Lucas

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…

Soft Condensed Matter · Physics 2019-01-15 Swetlana Jungblut , Jan-Ole Joswig , Alexander Eychmüller

In the classical model of Diffusion Limited Aggregation (DLA), introduced by Witten and Sander, the process begins with a single particle cluster placed at the origin of a space, and then, one at a time, particles make a random walk from…

Probability · Mathematics 2026-04-29 Colin Cooper , Alan Frieze

We identify the asymptotic distribution of the chemical distance in high-dimensional critical Bernoulli percolation. Namely, we show that the distance between the origin and a distant vertex conditioned to lie in the cluster of the origin…

Probability · Mathematics 2025-11-13 Shirshendu Chatterjee , Pranav Chinmay , Jack Hanson , Philippe Sosoe

Let $ \mathbb{L}^{d} = ( \mathbb{Z}^{d},\mathbb{E}^{d} ) $ be the $ d $-dimensional hypercubic lattice. We consider a model of inhomogeneous Bernoulli percolation on $ \mathbb{L}^{d} $ in which every edge inside the $ s $-dimensional…

Probability · Mathematics 2021-07-22 Bernardo N. B. de Lima , Sébastien Martineau , Humberto C. Sanna , Daniel Valesin

The two-dimensional comb lattice $C_2$ is a natural spanning tree of the Euclidean lattice $\mathbb{Z}^2$. We study three related cluster growth models on $C_2$: internal diffusion limited aggregation (IDLA), in which random walkers move on…

Probability · Mathematics 2012-04-13 Wilfried Huss , Ecaterina Sava

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

We predict that self-bound clusters of particles exist in the supercritical phase of simple fluids. These clusters, whose internal temperature is lower than the global temperature of the system, define a percolation line that starts at the…

Statistical Mechanics · Physics 2009-10-31 X. Campi , H. Krivine , N. Sator

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…

Statistical Mechanics · Physics 2007-05-23 Ilya Molchanov

Let A(t) denote the cluster produced by internal diffusion limited aggregation (internal DLA) with t particles in dimension d > 2. We show that A(t) is approximately spherical, up to an O(\sqrt{\log t}) error.

Probability · Mathematics 2011-02-01 David Jerison , Lionel Levine , Scott Sheffield

The concept of midpoint percolation has recently been applied to characterize the double percolation transitions in negatively curved structures. Regular $d$-dimensional hypercubic lattices are in the present work investigated using the…

Statistical Mechanics · Physics 2010-04-16 Seung Ki Baek , Petter Minnhagen , Beom Jun Kim

Internal DLA (IDLA) is an internal aggregation model in which particles perform random walks from the origin, in turn, and stop upon reaching an unoccupied site. Levine and Peres showed that, when particles start instead from fixed…

Probability · Mathematics 2022-01-24 David Darrow

Irreversible diffusion limited cluster aggregation (DLCA) of hard spheres was simulated using Brownian cluster dynamics. Bound spheres were allowed to move freely within a specified range, but no bond breaking was allowed. The structure and…

Soft Condensed Matter · Physics 2009-03-25 Sujin Babu , Jean-Christophe Gimel , Taco Nicolai

We study two random processes on an $n$-vertex graph inspired by the internal diffusion limited aggregation (IDLA) model. In both processes $n$ particles start from an arbitrary but fixed origin. Each particle performs a simple random walk…

Discrete Mathematics · Computer Science 2019-11-27 Nicolas Rivera , Alexandre Stauffer , Thomas Sauerwald , John Sylvester
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