Machine-Learning-Optimized Aperiodic Superlattice Minimizes Coherent Phonon Heat Conduction

Hu, Run; Iwamoto, Sotaro; Feng, Lei; Ju, Shenghong; Hu, Shiqian; Ohnishi, Masato; Nagai, Naomi; Hirakawa, Kazuhiko; Shiomi, Junichiro

doi:10.1103/physrevx.10.021050

Cited by 94 publications

(83 citation statements)

References 43 publications

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“…Due to the large computational cost, the phonon NEGF has been often applied for ballistic heat transport through relatively simple structures like lowdimensional nanostructures (ultrathin nanowire [42,46,47], nanotubes [45,48], molecular junctions [49], 2D structures [50][51][52], etc. ), interfaces [53][54][55][56][57][58], and SLs [17,[59][60][61]. Very few works [43,44,[62][63][64][65][66] directly take into account the anharmonic phonon-phonon scattering, yet often consider few-atom systems like the atomic chain or junction [43,44,62,63], and single-unit-cell interface [66].…”

Section: Introductionmentioning

confidence: 99%

Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures

et al. 2020

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The coherent quantum effect has become increasingly important in the heat dissipation bottleneck of semiconductor nanoelectronics with the characteristic size recently shrinking down to a few nanometers scale. However, the quantum mechanical model remains elusive for anharmonic phonon-phonon scattering in extremely small nanostructures with broken translational symmetry. It is a long-term challenging task to correctly simulate quantum heat transport including anharmonic scattering at a scale relevant to practical applications. In this article, we present a clarified theoretical formulation of anharmonic phonon nonequilibrium Green's function (NEGF) formalism for both one-and three-dimensional nanostructures, through a diagrammatic perturbation expansion and an introduction of Fourier's representation to both harmonic and anharmonic terms. A parallelized computational framework with first-principle force constants input is developed for large-scale quantum heat transport simulation. Some crucial approximations in numerical implementation are investigated to ensure the balance between numerical accuracy and efficiency. A quantitative validation is demonstrated for the anharmonic phonon NEGF formalism and computational framework by modeling cross-plane heat transport through a silicon thin film. The phonon-phonon scattering is shown to appreciably enhance the thermal resistance or conductance in extremely small homogeneous or heterogeneous thin films. The present methodology provides a robust platform for the device quantum thermal modeling, as well as a study on the transition from coherent to incoherent heat transport in nanophononic crystals. This work thus paves the way to understand and to manipulate heat conduction via the wave nature of phonons.

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Section: Introductionmentioning

confidence: 99%

Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures

et al. 2020

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“…Some recent works about using these two kinds of phononic crystals and their comparison were reported ( Sledzinska et al., 2020 ; Hussein et al., 2020 ). Besides the Bragg-type crystal and locally resonant crystal, recently, aperiodic superlattices or random multilayer structures were also found effective systems for tuning the wave nature of phonons ( Chakraborty et al, 2020 ; Hu et al, 2020 ). For example, thermal conductivity can be significantly reduced in GaAs/AlAs superlattices with clean interfaces ( Hu et al, 2020 ).…”

Section: Fundamentalmentioning

confidence: 99%

“…Besides the Bragg-type crystal and locally resonant crystal, recently, aperiodic superlattices or random multilayer structures were also found effective systems for tuning the wave nature of phonons ( Chakraborty et al, 2020 ; Hu et al, 2020 ). For example, thermal conductivity can be significantly reduced in GaAs/AlAs superlattices with clean interfaces ( Hu et al, 2020 ). Resorting to machine learning or other optimization methods, some unusual cognitions on structures of superlattices impacting heat transport may arise.…”

Section: Fundamentalmentioning

confidence: 99%

Thermal Metamaterial: Fundamental, Application, and Outlook

2020

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Thermal metamaterials have amazing properties in heat transfer beyond naturally occurring materials owing to their well-designed artificial structures. The idea of thermal metamaterial has completely subverted the design of thermal functional devices and makes it possible to manipulate heat flow at will. In this perspective, we review the up-to-date progress of thermal metamaterials starting from 2008. We focus on both the key theoretical fundamentals and techniques for applications and give a perspective of scale-based classification on thermal metamaterials' theories and applications. We also discuss the junction between macroscale and microscale design methods and propose some prospects for the future trend of this field.

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“…Thermal/infrared sensing is more promising in HMI applications since it can be used to sense objects and environments through the infrared light as all objects emit infrared light at anytime and anywhere [ 14 , 15 , 16 , 85 , 86 , 87 , 88 , 89 , 90 ]. Lochbaum et al combined microelectromechanical system (MEMS) and metamaterial perfect emitter to achieve narrowband on-chip infrared emitter for infrared sensing [ 91 ].…”

Section: Metamaterials-enabled Sensingmentioning

confidence: 99%

Metamaterials-Enabled Sensing for Human-Machine Interfacing

2020

Sensors

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Our modern lives have been radically revolutionized by mechanical or electric machines that redefine and recreate the way we work, communicate, entertain, and travel. Whether being perceived or not, human-machine interfacing (HMI) technologies have been extensively employed in our daily lives, and only when the machines can sense the ambient through various signals, they can respond to human commands for finishing desired tasks. Metamaterials have offered a great platform to develop the sensing materials and devices from different disciplines with very high accuracy, thus enabling the great potential for HMI applications. For this regard, significant progresses have been achieved in the recent decade, but haven’t been reviewed systematically yet. In the Review, we introduce the working principle, state-of-the-art sensing metamaterials, and the corresponding enabled HMI applications. For practical HMI applications, four kinds of signals are usually used, i.e., light, heat, sound, and force, and therefore the progresses in these four aspects are discussed in particular. Finally, the future directions for the metamaterials-based HMI applications are outlined and discussed.

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Machine-Learning-Optimized Aperiodic Superlattice Minimizes Coherent Phonon Heat Conduction

Cited by 94 publications

References 43 publications

Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures

Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures

Thermal Metamaterial: Fundamental, Application, and Outlook

Metamaterials-Enabled Sensing for Human-Machine Interfacing

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