Size- and temperature-dependent bending rigidity of graphene using modal analysis

Journal Article (2018)
Author(s)

B. Sajadi (TU Delft - Dynamics of Micro and Nano Systems)

Simon van van Hemert (Student TU Delft)

B. Arash (TU Delft - Applied Mechanics)

P. Belardinelli (TU Delft - Dynamics of Micro and Nano Systems)

P. G. Steeneken (TU Delft - Dynamics of Micro and Nano Systems, TU Delft - QN/Steeneken Lab)

Farbod Alijani (TU Delft - Dynamics of Micro and Nano Systems)

Research Group
Dynamics of Micro and Nano Systems
Copyright
© 2018 B. Sajadi, Simon van Hemert, B. Arash, P. Belardinelli, P.G. Steeneken, F. Alijani
DOI related publication
https://doi.org/10.1016/j.carbon.2018.06.066
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 B. Sajadi, Simon van Hemert, B. Arash, P. Belardinelli, P.G. Steeneken, F. Alijani
Research Group
Dynamics of Micro and Nano Systems
Volume number
139
Pages (from-to)
334-341
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The bending rigidity of two-dimensional (2D) materials is a key parameter for understanding the mechanics of 2D NEMS devices. The apparent bending rigidity of graphene membranes at macroscopic scale differs from theoretical predictions at micro-scale. This difference is believed to originate from thermally induced dynamic ripples in these atomically thin membranes. In this paper, we perform modal analysis to estimate the effective bending rigidity of graphene membranes from the frequency spectrum of their Brownian motion. Our method is based on fitting the resonance frequencies obtained from the Brownian motion in molecular dynamics simulations, to those obtained from a continuum mechanics model, with bending rigidity and pretension as the fit parameters. In this way, the effective bending rigidity of the membrane and its temperature and size dependence, are extracted, while including the effects of dynamic ripples and thermal fluctuations. The proposed method provides a framework for estimating the macroscopic mechanical properties in other 2D nanostructures at finite temperatures.