Layer and size dependence of thermal conductivity in multilayer graphene nanoribbons

Cao, Huabao; Guo, Zhi-Xin; Xiang, Hongjun; Gong, X. G.

doi:10.1016/j.physleta.2011.11.016

Cited by 104 publications

(56 citation statements)

References 45 publications

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“…The phonon energy spectra have been theoretically investigated using Perdew-Burke-Ernzerhof generalized gradient approximation (GGA) [38][39][40], valence-force-field (VFF) and Born-von Karman models of lattice vibrations [41][42][43][44][45][46], continuum approach [47][48][49], first-order local density approximation [39,50,51], fifth-and fourth-nearest neighbor force constant approaches [40,52] or utilized the Tersoff, Brenner or Lennard-Jones potentials [53][54][55]. The thermal conductivity investigations have been performed within molecular dynamics simulations [56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72], density functional theory [73,74], Green's function method [75,76] and Boltzmann-transport-equation (BTE) approach [31,[41][42][43]…”

Section: Theory Of the Thermal Conductivity Of Graphene And Gnrmentioning

confidence: 99%

“…Graphene and GNRs also demonstrated an intriguing dependence of the thermal conductivity on their geometrical parameters: lateral sizes and shapes [41][42][43]49,[68][69][70][71]85]. Using the BTE approach, Nika et al [43] have demonstrated that RT thermal conductivity of a rectangular graphene flake with 5 µm width increases with length L up to L ~ 40-200 µm and converges for L > 50-1000 µm in dependence on the phonon boundary scattering parameter p (see Figure 2a).…”

Section: Theory Of the Thermal Conductivity Of Graphene And Gnrmentioning

confidence: 99%

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Graphene Thermal Properties: Applications in Thermal Management and Energy Storage

2014

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Abstract:We review the thermal properties of graphene, few-layer graphene and graphene nanoribbons, and discuss practical applications of graphene in thermal management and energy storage. The first part of the review describes the state-of-the-art in the graphene thermal field focusing on recently reported experimental and theoretical data for heat conduction in graphene and graphene nanoribbons. The effects of the sample size, shape, quality, strain distribution, isotope composition, and point-defect concentration are included in the summary. The second part of the review outlines thermal properties of graphene-enhanced phase change materials used in energy storage. It is shown that the use of liquid-phase-exfoliated graphene as filler material in phase change materials is promising for thermal management of high-power-density battery parks. The reported experimental and modeling results indicate that graphene has the potential to outperform metal nanoparticles, carbon nanotubes, and other carbon allotropes as filler in thermal management materials. OPEN ACCESSAppl. Sci. 2014, 4 526

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Section: Theory Of the Thermal Conductivity Of Graphene And Gnrmentioning

confidence: 99%

Section: Theory Of the Thermal Conductivity Of Graphene And Gnrmentioning

confidence: 99%

Graphene Thermal Properties: Applications in Thermal Management and Energy Storage

2014

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“…However, there is no universally accepted underlying mechanism for the size dependence of the thermal conductivity in graphene [127,132,[138][139][140][141]. In the out-of-plane direction, the thermal conductivity for graphene decreases with increasing layer number as there are more phononphonon scattering channels in thicker few-layer graphene [138,[142][143][144][145][146][147][148][149].…”

Section: Thermal Conductivitymentioning

confidence: 99%

Graphene versus MoS2: A short review

Jiang

2015

Front. Phys.

182

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Graphene and MoS 2 are two well-known quasi two-dimensional materials. This review presents a comparative survey of the complementary lattice dynamical and mechanical properties of graphene and MoS 2 , which facilitates the study of graphene/MoS 2 heterostructures. These hybrid heterostructures are expected to mitigate the negative properties of each individual constituent and have attracted intense academic and industrial research interest.

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“…In case of narrower GNRs, the reduced edge-localized phonon effect is dominant with the increase of width leading to the increased thermal conductivity which is reflected in our study range. However, for a large enough width, more and more phonons will be activated with remarkably significant phonon's Umklapp effect and as a consequence, the thermal conductivity decreases with the increase of width of graphene nanoribbon [22,37,43]. Figure 9.…”

Section: Length Dependence Of Thermal Conductivitymentioning

confidence: 99%

Equilibrium Molecular Dynamics (MD) Simulation Study of Thermal Conductivity of Graphene Nanoribbon: A Comparative Study on MD Potentials

et al. 2015

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The thermal conductivity of graphene nanoribbons (GNRs) has been investigated using equilibrium molecular dynamics (EMD) simulation based on Green-Kubo (GK) method to compare two interatomic potentials namely optimized Tersoff and 2nd generation Reactive Empirical Bond Order (REBO). Our comparative study includes the estimation of thermal conductivity as a function of temperature, length and width of GNR for both the potentials. The thermal conductivity of graphene nanoribbon decreases with the increase of temperature. Quantum correction has been introduced for thermal conductivity as a function of temperature to include quantum effect below Debye temperature. Our results show that for temperatures up to Debye temperature, thermal conductivity increases, attains its peak and then falls off monotonically. Thermal conductivity is found to decrease with the increasing length for optimized Tersoff potential. However, thermal conductivity has been reported to increase with length using 2nd generation REBO potential for the GNRs of same size. Thermal conductivity, for the specified range of width, demonstrates an increasing trend with the increase of width for both the concerned potentials. In comparison with 2nd generation REBO potential, optimized Tersoff potential demonstrates a better modeling of thermal Electronics 2015, 4 1110 conductivity as well as provides a more appropriate description of phonon thermal transport in graphene nanoribbon. Such comparative study would provide a good insight for the optimization of the thermal conductivity of graphene nanoribbons under diverse conditions.

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Layer and size dependence of thermal conductivity in multilayer graphene nanoribbons

Cited by 104 publications

References 45 publications

Graphene Thermal Properties: Applications in Thermal Management and Energy Storage

Graphene Thermal Properties: Applications in Thermal Management and Energy Storage

Graphene versus MoS2: A short review

Equilibrium Molecular Dynamics (MD) Simulation Study of Thermal Conductivity of Graphene Nanoribbon: A Comparative Study on MD Potentials

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