Modeling of graphene-based NEMS

Abstract

The possibility of designing nanoelectromechanical systems (NEMS) based on relative motion or vibrations of graphene layers is analyzed. Ab initio and empirical calculations of the potential relief of interlayer interaction energy in bilayer graphene are performed. A new potential based on the density functional theory calculations with the dispersion correction is developed to reliably reproduce the potential relief of interlayer interaction energy in bilayer graphene.Telescopic oscillations and small relative vibrations of graphene layers are investigated using molecular dynamics simulations. It is shown that these vibrations are characterized with small Qfactor values. The perspectives of nanoelectromechanical systems based on relative motion or vibrations of graphene layers are discussed.

Linear free vibration of graphene sheets with nanopore via Aifantis theory and Ritz method

“…Graphene sheets, the two-dimensional carbon nanostructure, amazingly exhibit the electrical, mechanical, thermal and optical properties (Jomehzadeh et al, 2015) that have been considered as a promising material for a wide range of applications (Lebedeva et al, 2012) such as composites, chemical sensors, ultra capacitors, transparent electrodes, photovoltaic cells, bio-devices (Zandiatashbar et al, 2014) and the gigahertz oscillator suggested based on the telescopic oscillation of graphene layers (Lebedeva et al, 2012). It is of great importance to simulate mechanical behavior of single/muti-layered graphene sheets accurately due to this wide scope of applications.…”

Molecular dynamics simulation study of a carbon-nanotube oscillator in a graphene-nanoribbon trench

“…Moreover, graphene oscillators based on the interlayer sliding of graphene nanoribbons (GNRs) or graphene nanoflakes (GNFs) have been addressed [20][21][22][23][24][25][26][27][28].…”

Tunneling conductance of telescopic contacts between graphene layers with and without dielectric spacer

“…Fast mechanical response of such devices can be predicted from low Q-factor values obtained for relative vibrations [28,29] and self-retracting motion of graphene layers [29,30] observed experimentally [31]. Schemes and operational principles of a set of NEMS based on relative motion and interaction of graphene layers have been considered [7,[11][12][13]29,[32][33][34][35].…”

“…Fast mechanical response of such devices can be predicted from low Q-factor values obtained for relative vibrations [28,29] and self-retracting motion of graphene layers [29,30] observed experimentally [31]. Schemes and operational principles of a set of NEMS based on relative motion and interaction of graphene layers have been considered [7,[11][12][13]29,[32][33][34][35]. It is worth mentioning a nanorelay [29] and inertial sensor [32] based on telescopic motion of graphene layers [29], memory cells based on motion of a graphene flake on a graphene layer [33,34], nanoelectromechanical switches based on changes of the distance between graphene layers [35] and in-plane relative displacement of layers [11], various nanosensors based on measurements of conductance changes at the in-plane relative displacement of layers of bilayer graphene [7,[11][12][13]35].…”