Temperature oscillation in one-dimensional superlattice induced by phonon localization

Lu, Longkai; Ma, Dengke; Zhong, Ming

doi:10.1088/1367-2630/ac3c62

Cited by 5 publications

(3 citation statements)

References 43 publications

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“…To date, various coherent heat conduction phenomena in nanomaterials have been reported [17,[67][68][69][70]. The coherent phonon transport is observed indirectly by the characterization of macroscopic variables, such as the non-monotonic variation of the thermal conductivity with the period length in phononic crystal structures [36,52], the variation of thermal conductivity with boundary roughness [71] or aperiodic structures [54,72], and temperature oscillation effect in superlattice [73]. Interested readers can refer to recent reviews [34][35][36] on the effect of coherent phonon transport on thermal conductivity.…”

Section: Phonon Interference Effectsmentioning

confidence: 99%

Emerging theory and phenomena in thermal conduction: A selective review

Chen

Pan

et al. 2022

Sci. China Phys. Mech. Astron.

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Recently, emerging phonon phenomena have been discovered and rapidly developed, which have become an active hot research topic. In this review article, we present state-of-the-art advances in several fascinating phonon transport phenomena. First, we summarize the recent progress on the wave nature of phonons, including phonon coherence and its effects on thermal conductivity and the topological properties of phonons. Then, we discuss the particle nature of phonons, including the weak coupling of phonons and the high-order phonon anharmonicity. Finally, we present the summary and a brief outlook. This review presents the advanced understanding of some emerging phonon phenomena in solid materials, which provides new opportunities for further advancement in a wide variety of applications.

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Section: Phonon Interference Effectsmentioning

confidence: 99%

Emerging theory and phenomena in thermal conduction: A selective review

Chen

Pan

et al. 2022

Sci. China Phys. Mech. Astron.

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“…As the increase of size for mixed region, the optimized ITC reduces. This is attributed to the increase of Anderson localization [110][111][112]. However, the 50% increase in ITC cannot always guaranteed due to intrinsic errors from molecular dynamics simulation.…”

Section: Optimization By Machine Learning Algorithmsmentioning

confidence: 99%

Reducing interfacial thermal resistance by interlayer

Ma¹,

Xing²

2022

J. Phys.: Condens. Matter

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Heat dissipation is crucial important for the performance and lifetime for highly integrated electronics, Li-ion battery-based devices and so on, which lies in the decrease of interfacial thermal resistance (ITR). To achieve this goal, introducing interlayer is the most widely used strategy in industry, which has attracted tremendous attention from researchers. In this review, we focus on bonding effect and bridging effect to illustrate how introduced interlayer decreases ITR. The behind mechanisms and theoretical understanding of these two effects are clearly illustrated. Simulative and experimental studies toward utilizing these two effects to decrease ITR of real materials and practical systems are reviewed. Specifically, the mechanisms and design rules for the newly emerged graded interlayers are discussed. The optimization of interlayers by machine learning algorithms are reviewed. Based on present researches, challenges and possible future directions about this topic are discussed.

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“…In literature, different approaches have been used to study the thermal conductivity of materials. [24][25][26][27][28][29][30][31] In the present work, assuming the heat in the material to be transported mainly by the acoustic phonons, we obtain the expression for the lattice contribution, κ L , by solving the Boltzmann transport equation for phonons in the relaxation time approximation. The heat transports via longitudinal acoustic (LA) and transverse acoustic (TA) phonon modes are quite different and depend on their characteristic frequencies and dispersion.…”

Section: Theorymentioning

confidence: 99%

Lattice thermal conduction in cadmium arsenide

Chinnappagoudra¹,

Kamatagi²,

Patil³

et al. 2022

Chinese Phys. B

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Lattice thermal conductivity (LTC) of cadmium arsenide (Cd3As2) is studied, for the first time, over a wide temperature range (1–400 K) employing Callaway model. The acoustic phonons are considered to be the major carriers of heat and to be scattered by the sample boundaries, disorder, impurities, and the other phonons via both U- and N- processes. Numerical calculations of LTC of Cd3As2 bring out the relative importance of the scattering mechanisms. Our systematic analysis of recent experimental data on TC of Cd3As2 samples of different groups, presented in terms of LTC, κ L , using a non-linear regression method, is seen to obtain good fits to the TC data of the samples considered for T< ~50 K, and to suggest a value of 0.2 for the Gruneisen parameter. It is however, found that for T>100 K the inclusion of the electronic component, κ e , of TC, incorporating contributions from relevant electron scattering mechanisms, is needed to obtain good agreement with the TC data over the wide temperature range. More detailed investigations of TC of Cd3As2 are required to better understand its suitability in thermoelectric and thermal management devices.

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Temperature oscillation in one-dimensional superlattice induced by phonon localization

Cited by 5 publications

References 43 publications

Emerging theory and phenomena in thermal conduction: A selective review

Emerging theory and phenomena in thermal conduction: A selective review

Reducing interfacial thermal resistance by interlayer

Lattice thermal conduction in cadmium arsenide

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