Inter-layer and intra-layer heat transfer in bilayer/monolayer graphene van der Waals heterostructure: Is there a Kapitza resistance analogous?

Rajabpour, Ali; Fan, Zheyong; Allaei, S. Mehdi Vaez

doi:10.1063/1.5025604

Cited by 20 publications

(17 citation statements)

References 39 publications

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“…The continuum model adapted from Ref. 31 to predicted the local temperature in our system using the heat equation.…”

Section: Methodsmentioning

confidence: 99%

“…We intend to state here a continuum model according to Ref. 31 that can describe temperature distribution in a long PGG (i.e. >> 36Å).…”

Section: Continuum Modelmentioning

confidence: 99%

“…Moreover, In Ref. 31 a hybrid system contains a bilayer and a single layer was investigated through molecular dynamics simulation and continuum modeling to obtain thermal properties of the system. In the current paper, we try to study interface thermal resistance and also thermal rectification in hybrid pillared-graphene and graphene by using non-equilibrium molecular dynamics simulation (NEMD).…”

Section: Introductionmentioning

confidence: 99%

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Thermal rectification and interfacial thermal resistance in hybrid pillared-graphene and graphene: a molecular dynamics and continuum approach

2020

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In this study, we investigate the thermal rectification and thermal resistance in the hybrid pillared-graphene and graphene (PGG) system. This is done through the classical molecular dynamics simulation (MD) and also with a continuum model. At first, the thermal conductivity of both pillared-graphene and graphene is calculated employing MD simulation and Fourier's low. Our results show that the thermal conductivity of the pillared-graphene is much smaller than the graphene by an order of magnitude. Next, by applying positive and negative temperature gradients along the longitudinal direction of PGG, the thermal rectification is examined. The MD results indicate that for the lengths in the range of 36 to 86 nm, the thermal rectification remains almost constant (~3-5%). We have also studied the phonon density of states (DOS) on both sides of the interface of PGG. The DOS curves show that there is phonon scattering at low frequencies (acoustic mode) that depends on the imposed temperature gradient direction in the system. Therefore, we can 2 introduce the PGG as a promising thermal rectifier at room temperature. Furthermore, in the following of this work, we also explore the temperature distribution over the PGG by using the continuum model. The results that obtained from the continuum model predict the MD results such as the temperature distribution in the upper half-layer and lower full-layer graphene, the temperature gap and also the thermal resistance at the interface.

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“…The continuum model adapted from Ref. 31 to predicted the local temperature in our system using the heat equation.…”

Section: Methodsmentioning

confidence: 99%

“…We intend to state here a continuum model according to Ref. 31 that can describe temperature distribution in a long PGG (i.e. >> 36Å).…”

Section: Continuum Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermal rectification and interfacial thermal resistance in hybrid pillared-graphene and graphene: a molecular dynamics and continuum approach

2020

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“…A theoretical study assigned thermal rectification properties to GJs [15], however this has not been examined experimentally. Other simulations also showed that heat transfer at GJs is non-trivial, because in the multilayer region different layers may have different temperatures [16]. Knowledge of heat flow across GJs is important not just fundamentally, but also for practical applications in terms of how they modify the overall thermal conductivity of graphene (as GBs do [10,17]), or where GJs could act as phonon filters).…”

Section: Introductionmentioning

confidence: 99%

Thermal transport across graphene step junctions

Rojo¹,

Li²,

Sievers³

et al. 2018

2D Mater.

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Step junctions are often present in layered materials, i.e. where single-layer regions meet multilayer regions, yet their effect on thermal transport is not understood to date. Here, we measure heat flow across graphene junctions (GJs) from monolayer to bilayer graphene, as well as bilayer to four-layer graphene for the first time, in both heat flow directions. The thermal conductance of the monolayer-bilayer GJ device ranges from ~0.5 to 9.1 × 10 8 Wm -2 K -1 between 50 K to 300 K.Atomistic simulations of such GJ device reveal that graphene layers are relatively decoupled, and the low thermal conductance of the device is determined by the resistance between the two distinct graphene layers. In these conditions the junction plays a negligible effect. To prove that the decoupling between layers controls thermal transport in the junction, the heat flow in both directions was measured, showing no evidence of thermal asymmetry or rectification (within experimental error bars). For large-area graphene applications, this signifies that small bilayer (or multilayer) islands have little or no contribution to overall thermal transport.

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“…Ultrathin thickness of channels can facilitate fast heat dissipation and quick response to external stimuli. Moreover, 2D materials can be vertically stacked on arbitrary materials, enabling rich device operations and physics . The number of reports on 2D materials‐based synaptic devices has accordingly increased rapidly.…”

Section: Introductionmentioning

confidence: 99%

Recent Progress in Synaptic Devices Based on 2D Materials

Sun

Wang

Yang

2020

Advanced Intelligent Systems

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Diverse synaptic plasticity with a wide range of timescales in biological synapses plays an important role in memory, learning, and various signal processing with exceptionally low power consumption. Emulating biological synaptic functions by electric devices for neuromorphic computation has been considered as a way to overcome the traditional von Neumann architecture in which separated memory and information processing units require high power consumption for their functions. Synaptic devices are expected to conduct complex signal processing such as image classification, decision‐making, and pattern recognition in artificial neural networks. Among various materials and device architectures for synaptic devices, 2D materials and their van der Waals (vdW) heterostructures have been attracting tremendous attention from researchers based on their capacity to mimic unique synaptic plasticity for neuromorphic computing. Herein, the basic operations of biological synapses and physical properties of 2D materials are discussed, and then 2D materials and their vdW heterostructures for advanced synaptic operations with novel working mechanisms are reviewed. In particular, there is a focus on how to design synaptic devices with the vdW structures in terms of critical 2D materials and their limitations, providing insight into the emerging synaptic device systems and artificial neural networks with 2D materials.

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Inter-layer and intra-layer heat transfer in bilayer/monolayer graphene van der Waals heterostructure: Is there a Kapitza resistance analogous?

Cited by 20 publications

References 39 publications

Thermal rectification and interfacial thermal resistance in hybrid pillared-graphene and graphene: a molecular dynamics and continuum approach

Thermal rectification and interfacial thermal resistance in hybrid pillared-graphene and graphene: a molecular dynamics and continuum approach

Thermal transport across graphene step junctions

Recent Progress in Synaptic Devices Based on 2D Materials

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