The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model
Abstract The uncertainty and fluctuations in graphene characteristic parameters are inevitable issues in both of experimental measurements and numerical investigations. In this paper, the correlations between characteristic parameters (Young’s modulus, Poisson’s ratio and thickness of graphene) and...
Enregistré dans:
Auteurs principaux: | Liu Chu, Jiajia Shi, Eduardo Souza de Cursi |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4e15c5bf2a464bf898f8cca89a1aabbe |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Frequency-resolved Monte Carlo
par: Juan Camilo López Carreño, et autres
Publié: (2018) -
The role of colour flows in matrix element computations and Monte Carlo simulations
par: Stefano Frixione, et autres
Publié: (2021) -
Stochastic Diffusion Process-based Multi-Level Monte Carlo for Predictive Reliability Assessment of Distribution System
par: Manohar Potli, et autres
Publié: (2021) -
Data analytics using canonical correlation analysis and Monte Carlo simulation
par: Jeffrey M. Rickman, et autres
Publié: (2017) -
The complementary graphene growth and etching revealed by large-scale kinetic Monte Carlo simulation
par: Xiao Kong, et autres
Publié: (2021)