Uncertainty quantification of percolating electrical conductance for wavy carbon nanotube-filled polymer nanocomposites using Bayesian inference

This research focuses on the uncertainty quantification of electrical percolation behavior in wavy carbon nanotube (CNT)-filled polymer nanocomposites with a three-dimensional representative volume element accounting for both tunneling resistance (quantum carrier tunneling) and stochasticity in CNT...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Carbon (New York) 2021-02, Vol.172, p.308-323
Hauptverfasser:	Doh, Jaehyeok, Park, Sang-In, Yang, Qing, Raghavan, Nagarajan
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian inference Carbon Carbon nanotube (CNT) waviness Carbon nanotubes Chemistry Chemistry, Physical Conductivity Confidence intervals Correlation coefficients Electrical percolation behavior Electrical resistance Markov chains Materials Science Materials Science, Multidisciplinary Mathematical models Monte Carlo simulation Nanocomposites Nanotubes Parameters Pearson correlation coefficient Percolation Phase transitions Physical Sciences Polymer nanocomposites (PNC) Polymers Resistance Science & Technology Statistical inference Studies Technology Uncertainty Uncertainty quantification (UQ) Waviness
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!