Open AccessA Monte Carlo Simulation Study on: Deposition, Diffusion, and Aggregation
Author(s) -
Lei Chen,
gdie Tan,
Xianglin Ye,
Wandi Wu,
Hao Xiong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1813/1/012011
Subject(s) - monte carlo method , deposition (geology) , statistical physics , cluster (spacecraft) , diffusion , fractal , diffusion limited aggregation , frame (networking) , computer science , kinetic monte carlo , physics , fractal dimension , mathematics , statistics , geology , thermodynamics , paleontology , mathematical analysis , telecommunications , sediment , programming language
In this paper we present a Monte Carlo simulation program to implement a single model: deposition, diffusion, and aggregation (DDA). By using the simulation program, we show in the following that the DDA model generates a wide variety of fractal structures characteristic of different models such as diffusion-limited aggregation (DLA) or cluster-cluster aggregation (CCA), but such DLA and CCA models do not incorporate the possibility of cluster-mass dependent deposition. Starting from those kernels, aggregation laws to describe the interaction between free and deposited clusters were proposed and a simple cluster-mass dependent deposition law was employed. The simulation results are then discussed in the frame of the relative strength of parameters.