Cargando…
Modeling Percolation in Polymer Nanocomposites by Stochastic Microstructuring
A methodology was developed for the prediction of the electrical properties of carbon nanotube-polymer nanocomposites via Monte Carlo computational simulations. A two-dimensional microstructure that takes into account waviness, fiber length and diameter distributions is used as a representative volu...
Autores principales: | Soto, Matias, Esteva, Milton, Martínez-Romero, Oscar, Baez, Jesús, Elías-Zúñiga, Alex |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455403/ https://www.ncbi.nlm.nih.gov/pubmed/28793594 http://dx.doi.org/10.3390/ma8105334 |
Ejemplares similares
-
Explosive percolation yields highly-conductive polymer nanocomposites
por: Meloni, Manuela, et al.
Publicado: (2022) -
A Route for Polymer Nanocomposites with Engineered Electrical Conductivity and Percolation Threshold
por: Kalaitzidou, Kyriaki, et al.
Publicado: (2010) -
Percolation Conduction of Carbon Nanocomposites
por: Bocharov, Grigorii S., et al.
Publicado: (2020) -
Percolation analysis of the electrical conductive network in a polymer nanocomposite by nanorod functionalization
por: Ma, Ruibin, et al.
Publicado: (2019) -
Computational Micromechanics Investigation of Percolation and Effective Electro-Mechanical Properties of Carbon Nanotube/Polymer Nanocomposites using Stochastically Generated Realizations: Effects of Orientation and Waviness
por: Talamadupula, Krishna Kiran, et al.
Publicado: (2022)