Enhancing the mass sensitivity of graphene nanoresonators via nonlinear oscillations

The effective strain mechanism

Jin Wu Jiang, Harold S. Park, Timon Rabczuk

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

We perform classical molecular dynamics simulations to investigate the enhancement of the mass sensitivity and resonant frequency of graphene nanomechanical resonators that is achieved by driving them into the nonlinear oscillation regime. The mass sensitivity as measured by the resonant frequency shift is found to triple if the actuation energy is about 2.5 times the initial kinetic energy of the nanoresonator. The mechanism underlying the enhanced mass sensitivity is found to be the effective strain that is induced in the nanoresonator due to the nonlinear oscillations, where we obtain an analytic relationship between the induced effective strain and the actuation energy that is applied to the graphene nanoresonator. An important implication of this work is that there is no need for experimentalists to apply tensile strain to the resonators before actuation in order to enhance the mass sensitivity. Instead, enhanced mass sensitivity can be obtained by the far simpler technique of actuating nonlinear oscillations of an existing graphene nanoresonator.

Original languageEnglish
Article number475501
JournalNanotechnology
Volume23
Issue number47
DOIs
Publication statusPublished - 2012 Nov 30
Externally publishedYes

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Graphene
Resonators
Natural frequencies
Tensile strain
Molecular Dynamics Simulation
Kinetic energy
Molecular dynamics
Computer simulation

ASJC Scopus subject areas

  • Bioengineering
  • Chemistry(all)
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Materials Science(all)

Cite this

Enhancing the mass sensitivity of graphene nanoresonators via nonlinear oscillations : The effective strain mechanism. / Jiang, Jin Wu; Park, Harold S.; Rabczuk, Timon.

In: Nanotechnology, Vol. 23, No. 47, 475501, 30.11.2012.

Research output: Contribution to journalArticle

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