Elsevier

Carbon

Volume 50, Issue 13, November 2012, Pages 4887-4893
Carbon

A molecular dynamics study of the thermal conductivity of graphene nanoribbons containing dispersed Stone–Thrower–Wales defects

https://doi.org/10.1016/j.carbon.2012.06.017Get rights and content

Abstract

Classical molecular dynamics with the AIREBO potential is used to investigate the thermal conductivity of both zigzag and armchair graphene nanoribbons possessing different densities of Stone–Thrower–Wales (STW) defects. Our results indicate that the presence of the defects can decrease thermal conductivity by more than 50%. The larger the defect density, the lower the conductivity, with the decrease significantly higher in zigzag than in armchair nanoribbons for all defect densities. The effect of STW defects in the temperature range 100–600 K was also determined. Our results showed the same trends in thermal conductivity decreases at all temperatures. However, for higher defect densities there was less variation in thermal conductivity at different temperatures.

Introduction

The successful synthesis of graphene [1] has led to the advent of many new possible technological developments [2], largely due to its exceptional electronic and thermal properties [3], [4], [5], [6]. Graphene is a two-dimensional, single layer of carbon atoms arranged in a honeycomb lattice structure with sp2 bonds. It is the constitutive component in most carbon-based materials, including graphite and carbon nanotubes (CNT). Graphene holds much promise in nanoelectronics applications, as it is a semiconductor with zero bandgap and has significantly higher electron mobility compared to silicon, hence graphene is a very promising next-generation semiconductor material [2], [5]. Additionally, as graphene also possesses excellent thermal conductivity properties, many potential engineering applications are expected for graphene in the realm of thermal management [7]. Thermal dissipation has been one particularly important area that received much attention in experimental, as well as theoretical, research efforts [6], [8], [9], [10], [11], [12], [13], [14], [15].

Recently, several experimental measurements using Raman spectroscopy have found very high thermal conductivities of pristine graphene ranging from 2500–5300 W/m K [6], [8], [12]. However, theoretical analyses of pristine graphene using molecular dynamics (MD) suggests that due to edge effects, graphene possesses significant anisotropic thermal conduction [10], [11], [13], [15]. Moreover, the synthesis, processing and integration of graphene and CNTs could result in various defects, which could significantly affect the properties of graphene. These include defects such as point vacancies, impurities, and dislocations [16], among many others. These defects could also be intentionally manufactured or applied, for the purpose of adjusting the properties of graphene to suit the requirements of the application, in the same spirit as methods that are currently applied in the nanodesign of nanomaterials [17], [18], [19], [20].

Such defects are known to have profound influences on chemical and physical properties. For instance, increasing defect concentration could significantly decrease the electronic conductivity in CNTs, as well as lowering reaction barriers [21], [22]. Previous reported studies also showed that CNTs possessing different defects, chiralities and interfacial properties can also significantly affect thermal conductivity [23], [24], [25], [26]. For example, Che et al. [23] used equilibrium MD simulations to determine CNTs’ thermal conductivity and their dependence on vacancies and defects. They found that increasing the density of vacancies in CNTs led to a significant decrease in thermal conductivity. Zhang et al. [24] determined the thermal conductivity of CNTs of different chiralities using MD and a homogeneous nonequilibrium Green–Kubo method based on the Brenner potential. It was found that the thermal conductivity of CNTs were strongly dependant on chirality, with the zizag chirality displaying the highest thermal conductivity across a range of temperatures. Xu and Buehler [25], [26] found that the loading and interfacial conditions also significantly affected the thermal conductivity of CNTs.

In an earlier work [11], the effects of vacancies and edge roughness on the thermal conductivity of graphene nanoribbons (GNRs) have been studied through empirical molecular dynamics (MD). It was found that an increasing number of vacancies led to a significant decrease of almost 50% in the thermal conductivity of GNRs at room temperature. Also, another MD study found that random hydrogenation of pristine graphene led to drastic decreases in its thermal conductivity, up to a certain amount of hydrogen coverage [27].

Another class of topological defects that has significant effects on the properties of graphene is the Stone-Thrower-Wales (STW) defect [28], [29]. STW defects are the result of a 90° rotation of two carbon atoms relative to the midpoint of their pairwise bond. With the recent advancements in high-resolution transmission electron microscopy, more STW defects can be observed and characterized in graphene [30]. STW defects are known to have an impact on various properties of graphene. Experimentally, it was found that STW defects could quench the spin-polarized gap state caused by adsorption of hydrogen atoms on graphene sheets, and also change the local density of states [31], [32]. Moreover, it has been theoretically and experimentally shown that STW defects can be created through methods such as ion irradiation, electron irradiation and scanning tunneling microscopy [18], [33], [34]. However, it is not eminently clear whether STW defects significantly affect the thermal conductivity of GNRs, due to a lack of both experimental and theoretical evidence.

The objective of this study is to fill the distinct gap of knowledge with regard to the influence of STW defects on the thermal properties of GNRs. MD simulations were used to investigate the changes in the thermal conductivity of graphene of two different chirality cases, and possessing increasing number densities of STW defects. Also, the relationship between these two properties (chirality and STW defect density) was examined. Our results revealed that thermal conductivity decreased as the density of STW defects increased, regardless of chirality. The sharpest decrease was found at low density of STW defects, and subsequently plateaued for cases of high defect densities. Furthermore, it was found that GNRs with high STW defect densities showed less variations in thermal conductivity across a wide range of temperatures.

Section snippets

Simulation methodology

Classical MD with the Adaptive Intermolecular Reactive Empirical Bond Order (AIREBO) potential [35], as administered on the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) [36], is employed to describe the interactions between carbon–carbon bonds. The AIREBO potential is an extension of the second generation Reactive Bond Order (REBO) potential by Brenner [37] and has been successfully implemented to study the thermal and mechanical properties of carbon-based systems,

Results and discussion

Using RNEMD, we begin the study by determining the thermal conductivities of the pristine graphene samples. The thermal conductivity of each pristine or defective sample was averaged over five independent simulations, and the thermal conductivities and their corresponding error bars were plotted in Fig. 6. Polynomial fits of the data are also plotted to guide the eye, for better comparison of the data.

The thermal conductivity of pristine 10-ZGNR was found to be 78.0 W/(m K), whereas the thermal

Summary

This study revealed that STW defects caused large decreases in thermal conductivity, an effect that was similar to that produced by other defects such as edge roughness and vacancies [11], [13], [49]. Defects causing major deviations from the pristine crystalline structure of graphene have significant and profound effects on the thermal conductivity of graphene; likewise in GNRs with STW defects, despite the fact that the total number of carbon atoms and sample size are similar in both pristine

References (49)

  • S. Stankovich et al.

    Graphene-based composite materials

    Nature

    (2006)
  • A.K. Geim et al.

    Carbon wonderland

    Sci Am

    (2008)
  • A.A. Balandin et al.

    Superior thermal conductivity of single-layer graphene

    Nano Lett

    (2008)
  • S. Ghosh et al.

    Extremely high thermal conductivity of graphene: prospects for thermal management applications in nanoelectronic circuits

    Appl Phys Lett

    (2008)
  • Z.X. Guo et al.

    Thermal conductivity of graphene nanoribbons

    Appl Phys Lett

    (2009)
  • J.N. Hu et al.

    Molecular dynamics calculation of thermal conductivity of graphene nanoribbons

    Aip Conf Proc

    (2009)
  • J.N. Hu et al.

    Thermal conductivity and thermal rectification in graphene nanoribbons: a molecular dynamics study

    Nano Lett

    (2009 Jul)
  • W.W. Cai et al.

    Thermal transport in suspended and supported monolayer graphene grown by chemical vapor deposition

    Nano Lett

    (2010)
  • W.J. Evans et al.

    Thermal conductivity of graphene ribbons from equilibrium molecular dynamics: effect of ribbon width, edge roughness, and hydrogen termination

    Appl Phys Lett

    (2010)
  • A.A. Balandin

    Thermal properties of graphene and nanostructured carbon materials

    Nat Mater

    (2011)
  • W.R. Zhong et al.

    Chirality and thickness-dependent thermal conductivity of few-layer graphene: a molecular dynamics study

    Appl Phys Lett

    (2011)
  • A. Hashimoto et al.

    Direct evidence for atomic defects in graphene layers

    Nature

    (2004)
  • G. Chen et al.

    Heat transfer in nanostructures for solid-state energy conversion

    J Heat Trans-T ASME

    (2002 Apr)
  • M.T. Lusk et al.

    Nanoengineering defect structures on graphene

    Phys Rev Lett

    (2008)
  • Cited by (0)

    View full text