Temperature-dependent negative Poisson's ratio of monolayer graphene : prediction from molecular dynamics simulations

Yin Fan, Yang Xiang, Hui-Shen Shen

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

A temperature-dependent intrinsic property of monolayer graphene, the negative Poisson's ratio (NPR), is investigated in the present study. The classical molecular dynamics (MD) method is employed and the Erhart-Albe hybrid potential, i.e. the combination of the reactive empirical bond order (REBO) and the Tersoff potentials, is used for the graphene sheet in the numerical simulation. In the simulation process, the graphene sheet is assumed to be free standing with in-plane periodical boundary condition and under an ambient temperature up to 1000 K. Our study shows that the graphene NPR is decreased with the increase of temperature. Besides, we also perform the simulation of the graphene negative temperature expansion coefficient (NTEC) as an indirect validation of the present MD model. The characteristics of the nonlinear variations for both the NPR and the NTEC of a pristine graphene sheet are investigated. Our MD results at low temperature (0.1 K) further prove the intrinsic and anisotropic property of NPR for graphene.
Original languageEnglish
Pages (from-to)415-421
Number of pages7
JournalNanotechnology Reviews
Volume8
Issue number1
DOIs
Publication statusPublished - 2019

Open Access - Access Right Statement

© 2019 Y. Fan et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 Public License (https://creativecommons.org/licenses/by/4.0/

Keywords

  • Poisson ratios
  • lasers
  • molecular dynamics
  • monomolecular films

Fingerprint

Dive into the research topics of 'Temperature-dependent negative Poisson's ratio of monolayer graphene : prediction from molecular dynamics simulations'. Together they form a unique fingerprint.

Cite this