Adjustable thermal resistor by reversibly folding a graphene sheet

Song, Qichen; An, Meng; Chen, Xiandong; Peng, Zhan; Zang, Jianfeng; Yang, Nuo

doi:10.1039/c6nr01992g

Cited by 48 publications

(35 citation statements)

References 35 publications

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“…Reducing ph κ while maintaining the power factor (PF= 2 σS ), is a general strategy to increase ZT. Such methods have been demonstrated to be effective in reducing ph κ , for example, reducing dimensions to bring in size effects on phonon scattering [6,7], creating nanostructures to intensify boundary scatterings [8][9][10], and changing morphology in a micron scale [10][11][12]. These strategies aim at designing electron-crystal-phonon-glass structures.…”

Section: Introductionmentioning

confidence: 99%

Unexpectedly high cross-plane thermoelectric performance of layered carbon nitrides

Ding

et al. 2019

J. Mater. Chem. A

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Organic thermoelectric (TE) materials create a brand new perspective to search for high-efficiency TE materials, due to their small thermal conductivity. The overlap of pz orbitals, commonly existing in organic π-stacking semiconductors, can potentially result in high electronic mobility comparable to inorganic electronics. Here we propose a strategy to utilize the overlap of pz orbitals to increase the TE efficiency of layered polymeric carbon nitride (PCN). Through first-principles calculations and classical molecular dynamics simulations, we find that A-A stacked PCN has unexpectedly high cross-plane ZT up to 0.52 at 300 K, which can contribute to n-type TE groups. The high ZT originates from its one-dimensional charge transport and small thermal conductivity. The thermal contribution of the overlap of pz orbitals is investigated, which noticeably enhances the thermal transport when compared with the thermal conductivity without considering the overlap effect. For a better understanding of its TE advantages, we find that the low-dimensional charge transport results from strong pz-overlap interactions and the in-plane electronic confinement, by comparing π-stacking carbon nitride derivatives and graphite. This study can provide a guidance to search for high cross-plane TE performance in layered materials.

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Section: Introductionmentioning

confidence: 99%

Unexpectedly high cross-plane thermoelectric performance of layered carbon nitrides

Ding

et al. 2019

J. Mater. Chem. A

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“…After the experimental demonstration by Starr [1], this phenomenon has gained gradual interest, and numerous experimental and theoretical studies have been performed to get deeper insights into underlying mechanisms [2,3]. Improved understanding facilitates development of devices like thermal transistors, thermal logic circuits, and thermal diodes [4,5] for directional insulation, thermal memory, and computations. Thermal rectification ratio (γ TR ) is defined as…”

Section: Introductionmentioning

confidence: 99%

Thermal rectification in restructured graphene with locally modulated temperature dependence of thermal conductivity

et al. 2017

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We study thermal rectification (TR) in a selectively restructured graphene by performing deviational phonon Monte Carlo (MC) simulations with frequency-dependent phonon transport properties obtained from first principles. The restructuring is achieved by introducing vacancy defects in a portion of graphene. The defects significantly change phonon transport properties, which results in a modulation of temperature dependence of thermal conductivity. With this modulated temperature dependence, we predict TR ratio through an iterative scheme (IS), where heat flow through the system is analyzed by solving the Fourier's law of heat conduction with spatially varying temperature-dependent thermal conductivity. To identify structure parameters for maximal TR ratio, we investigate the influence of defect size, volume percentage of defects, and system (consisting of defective and non-defective regions) length through IS analysis. As results, we find that TR ratio is mainly a function of length of defective and non-defective regions, and volume percentage of defect, whereas it is mostly independent of defect size. A longer (of the order 10 μm) non-defective side, coupled to a shorter (of the order 100 nm) defective side, can lead to large TR ratios. Finally, MC simulation for the restructured graphene (full system) is performed to verify the predictions from IS analysis. The full system calculations give similar trends but with enhanced TR ratios up to 70% for the temperature range of 200-500 K.

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“…Data procurement is to acquire physical properties and structural information of given materials. Both calculations (such as first-principles, [20,23] molecular dynamics [22,24,25] and lattice dynamics [26,27] etc. ), experiments [28] and online libraries [29], have been used to collect these data.…”

Section: Data Procurementmentioning

confidence: 99%

Materials Discovery and Properties Prediction in Thermal Transport via Materials Informatics: A Mini Review

Xiao¹,

Feng²,

Wang³

et al. 2019

Nano Lett.

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112

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There has been an increasing demand for materials with special thermal properties, whereas experimental discovery is high-cost and time-consuming. The emerging discipline 'Materials Informatics' is an effective approach that can accelerate materials development by combining material science and big data technique. Recently materials informatics has been applied to the design of novel materials such as thermal interface materials for heat-dissipation, and thermoelectric materials for power generation. This mini-review summarized the research progress on the applications of materials informatics for the thermal transport properties prediction and discovery of materials with special thermal properties, including optimal thermal conductivity, interfacial thermal conductance and thermoelectricity efficiency. In addition, some perspectives are given for the outlook of materials informatics in the field of thermal transport.

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Adjustable thermal resistor by reversibly folding a graphene sheet

Cited by 48 publications

References 35 publications

Unexpectedly high cross-plane thermoelectric performance of layered carbon nitrides

Unexpectedly high cross-plane thermoelectric performance of layered carbon nitrides

Thermal rectification in restructured graphene with locally modulated temperature dependence of thermal conductivity

Materials Discovery and Properties Prediction in Thermal Transport via Materials Informatics: A Mini Review

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