Computer Modeling of Percolating Arrays of Bent Nanotubes

This study employs three-dimensional computer simulations to investigate the formation of nanotube networks within non-conductive volumes. The main focus is on analyzing the electrical properties of these networks, considering various conductivity mechanisms. The simulations provide a comprehensive exploration of nanotube networks with diverse geometrical parameters, offering insights into how these parameters affect their electrical behavior under different conditions. To ensure the reliability of our findings, rigorous validation procedures were implemented, comparing our computational results against established benchmarks. This validation process verified the accuracy and consistency of our simulations. Through systematic variation of the nanotube network’s geometric parameters in numerical experiments, we aimed to uncover the intricate relationship between network geometry and electrical conductivity. This approach allowed us to elucidate the complex dynamics governing nanotube networks’ electrical performance.

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Publication Details

Published
2024-09-08
DOI
https://doi.org/10.1109/nap62956.2024.10739684
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

Computer Modeling of Percolating Arrays of Bent Nanotubes

Halyna Klym, Dmytro Chalyy, Ivan Karbovnyk, Illia Zhydenko
Advanced Materials and Mechanics
article

Computer Modeling of Percolating Arrays of Bent Nanotubes

Halyna Klym, Dmytro Chalyy, Ivan Karbovnyk, Illia Zhydenko
article en

Abstract

This study employs three-dimensional computer simulations to investigate the formation of nanotube networks within non-conductive volumes. The main focus is on analyzing the electrical properties of these networks, considering various conductivity mechanisms. The simulations provide a comprehensive exploration of nanotube networks with diverse geometrical parameters, offering insights into how these parameters affect their electrical behavior under different conditions. To ensure the reliability of our findings, rigorous validation procedures were implemented, comparing our computational results against established benchmarks. This validation process verified the accuracy and consistency of our simulations. Through systematic variation of the nanotube network’s geometric parameters in numerical experiments, we aimed to uncover the intricate relationship between network geometry and electrical conductivity. This approach allowed us to elucidate the complex dynamics governing nanotube networks’ electrical performance.

Lviv University (UA), Lviv State University of Life Safety (UA), Lviv Polytechnic National University (UA)
Ministry of Education
Openalex Percentile: Top 80%
Advanced Materials and Mechanics
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