Abstract. We give a quantitative analysis of clustering in a stochastic model of one-dimensional gas. At time zero the gas consists of n identical particles that are randomly distributed on the real line and have zero initial speeds. Particles begin to move under the forces of mutual attraction. When particles collide, they stick together forming a new particle, called cluster, whose mass and speed are defined by the laws of conservation. We are interested in the asymptotic behavior of Kn(t) as n→∞, where Kn(t) denotes the number of clusters at time t in the system with n initial particles. Our main result is a functional limit theorem for Kn(t). Its proof is based on the discovered localization property of the aggregation process, which st...
Master’s Thesis. Master’s degree in Physics on Complex Systems.We have studied the properties of an ...
We consider a multiagent clustering model where each agent belongs to a multidimensional space. We i...
We consider a multiagent clustering model where each agent belongs to a multidimensional space. We i...
Abstract. We give a quantitative analysis of clustering in a stochastic model of one-dimensional gas...
We give a quantitative analysis of clustering in a stochastic model of one-dimensional gas. At time ...
We establish a connection between two different models of clustering: the deterministic model of sti...
The dynamical process of cluster formation is numerically studied by carrying out with 2-dimensional...
Systems of self-propelled particles (SPP) interacting by a velocity alignment mechanism in the prese...
The authors have studied a new growth process of cluster aggregation. In this process, particles are...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
The emergence of clustering and coarsening in crowded ensembles of self-propelled agents is studied ...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
[eng] We have studied the properties of an assembly of Brownian particles interacting via an attract...
Master’s Thesis. Master’s degree in Physics on Complex Systems.We have studied the properties of an ...
We consider a multiagent clustering model where each agent belongs to a multidimensional space. We i...
We consider a multiagent clustering model where each agent belongs to a multidimensional space. We i...
Abstract. We give a quantitative analysis of clustering in a stochastic model of one-dimensional gas...
We give a quantitative analysis of clustering in a stochastic model of one-dimensional gas. At time ...
We establish a connection between two different models of clustering: the deterministic model of sti...
The dynamical process of cluster formation is numerically studied by carrying out with 2-dimensional...
Systems of self-propelled particles (SPP) interacting by a velocity alignment mechanism in the prese...
The authors have studied a new growth process of cluster aggregation. In this process, particles are...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
The emergence of clustering and coarsening in crowded ensembles of self-propelled agents is studied ...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
International audienceSpherical particles at a liquid interface attract each other and aggregate. Th...
[eng] We have studied the properties of an assembly of Brownian particles interacting via an attract...
Master’s Thesis. Master’s degree in Physics on Complex Systems.We have studied the properties of an ...
We consider a multiagent clustering model where each agent belongs to a multidimensional space. We i...
We consider a multiagent clustering model where each agent belongs to a multidimensional space. We i...