Computer-Based Modeling of Field-Managed Percolation in 3D Arrangements of Linear Nanotubes

Abstract

The investigation focused on the phenomenon of percolation within a system of straight nanotubes, with the development of an adapted model to characterize this process. A computational algorithm was devised to ascertain the percolation probability of nanotubes, utilizing tools for 3D graphics visualization. The study delved into the impact of geometric dimensions and nanotube concentration on the percolation probability. The research explored the correlation between percolation probability and the dispersion angle, which determines the orientation of nanotubes. By analyzing this relationship, fundamental patterns emerged in the formation of conductive clusters under the influence of an electric field. This analysis facilitated the identification of optimal parameters for a nanotube system capable of demonstrating field-controlled percolation.