Feasible Thermodynamics Devices Enabled by Thermal-Null Medium

Sedeh, Hooman Barati; Fakheri, Mohammad Hosein; Abdolali, Ali; Sun, Fei; Ma, Yungui

doi:10.1103/physrevapplied.14.064034

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…[38] Additionally, adaptive thermal devices are presented to maintain functionality or stability depending on application scenes. [30,[39][40][41][42][43][44] Despite these advancements, the achievement of state-of-the-art self-adaptive thermal diffusion metamaterials still faces three longstanding and strong barriers. First, adaptive devices with robust functions usually require extremely anisotropic parameters, [39][40][41]45] which are challenging to prepare from natural bulk materials.…”

Section: Doi: 101002/adma202305791mentioning

confidence: 99%

“…[30,[39][40][41][42][43][44] Despite these advancements, the achievement of state-of-the-art self-adaptive thermal diffusion metamaterials still faces three longstanding and strong barriers. First, adaptive devices with robust functions usually require extremely anisotropic parameters, [39][40][41]45] which are challenging to prepare from natural bulk materials. Second, existing adaptive devices, especially macroscopic thermal diodes [29] and energy-free temperature trapping, [30] are limited to a specific temperature range related to the phasechange temperature of shape memory alloys.…”

Section: Doi: 101002/adma202305791mentioning

confidence: 99%

“…Second, existing adaptive devices, especially macroscopic thermal diodes [29] and energy-free temperature trapping, [30] are limited to a specific temperature range related to the phasechange temperature of shape memory alloys. Finally, most tunable or adaptive metamaterials [25,26,[29][30][31][36][37][38][39][40][41][42][43][44]46] need to be adjusted manually rather than automatically, lacking self-cognitive ability.…”

Section: Doi: 101002/adma202305791mentioning

confidence: 99%

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Deep Learning‐Assisted Active Metamaterials with Heat‐Enhanced Thermal Transport

Jin,

Xu,

et al. 2023

Advanced Materials

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Heat management is crucial for state‐of‐the‐art applications such as passive radiative cooling, thermally adjustable wearables, and camouflage systems. Their adaptive versions, to cater to varied requirements, lean on the potential of adaptive metamaterials. Existing efforts, however, feature with highly anisotropic parameters, narrow working‐temperature ranges, and the need for manual intervention, which remain long‐term and tricky obstacles for the most advanced self‐adaptive metamaterials. To surmount these barriers, we introduce heat‐enhanced thermal diffusion metamaterials powered by deep learning. Such active metamaterials can automatically sense ambient temperatures and swiftly, as well as continuously, adjust their thermal functions with a high degree of tunability. They maintain robust thermal performance even when external thermal fields change direction, and both simulations and experiments demonstrate exceptional results. Furthermore, we design two metadevices with on‐demand adaptability, performing distinctive features with isotropic materials, wide working temperatures, and spontaneous response. This work offers a framework for the design of intelligent thermal diffusion metamaterials and can be expanded to other diffusion fields, adapting to increasingly complex and dynamic environments.This article is protected by copyright. All rights reserved

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Section: Doi: 101002/adma202305791mentioning

confidence: 99%

Section: Doi: 101002/adma202305791mentioning

confidence: 99%

Section: Doi: 101002/adma202305791mentioning

confidence: 99%

See 1 more Smart Citation

Deep Learning‐Assisted Active Metamaterials with Heat‐Enhanced Thermal Transport

Jin,

Xu,

et al. 2023

Advanced Materials

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“…[ 2 ] As a result of this approach, several devices that were deemed impossible to be obtained with conventional methods have been introduced such as invisibility cloaks, [ 1,3–6 ] illusion systems, [ 7–9 ] field concentrators, [ 10,11 ] field rotators, [ 12 ] beam steering application, [ 13–16 ] and radar absorbing structures. [ 17 ] Following the idea of coordinate transformation, several other exotic functionalities have been proposed in other physics such as acoustics, [ 18,19 ] thermodynamics, [ 20,21 ] and matter waves. [ 22 ]…”

Section: Introductionmentioning

confidence: 99%

Experimental Verification of Shape‐Independent Surface Cloak Enabled by Nihility Transformation Optics

Fakheri

Ashrafian

Sedeh

et al. 2021

Advanced Optical Materials

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The manipulation of electromagnetic surface waves on interfaces that have arbitrary shape geometrical disorders has gained a lot of interest owing to its wealth of advantages in modern photonics and plasmonics devices. In this paper, based on the well‐established method of transformation optics, a reconfigurable cloak that is competent in guiding the propagation of surface plasmon polaritons (SPPs) at a distorted metal‐dielectric interface is introduced. The presented cloak consists of a homogeneous anisotropic material, dubbed as optic null medium (ONM) that is independent of the cloak geometrical shape. Whilst the homogeneity property of ONMs leads to the feasibility in fabrication, the shape independency feature yields an on‐demand control over the flow of SPPs, simply by changing the shape of the cloak while leaving its constituent material unchanged. In order to authenticate the idea, a triangular‐shape SPP cloak is designed and fabricated experimentally at microwave frequency. It is observed that by utilizing the designed cloak almost total transmission can be obtained from the distorted interface. The unique designing approach introduced here may open a new horizon to nano‐optics and downscaling of photonic circuits.

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Theory for Enhanced Thermal Concentrators: Thermal Conductivity Coupling

Huang

2022

Transformation Thermotics and Extended Theories

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In this chapter, we propose the theory of conductivity coupling to solve the problem that the concentrating efficiency of a thermal concentrator is restricted by its geometric configuration. We first discuss a monolayer scheme with an isotropic thermal conductivity, which can break the upper limit but is still restricted by the geometric structure. We further explore another degree of freedom by considering the monolayer scheme with an anisotropic thermal conductivity or adding the second shell with an isotropic thermal conductivity, thereby freeing the concentrating efficiency from the geometric configuration. Finite-element simulations are performed to confirm the theoretical predictions, and experimental suggestions are also provided to improve feasibility. These results may have potential applications for thermal camouflage and provide insights into other diffusive systems such as static magnetic fields and DC fields for achieving similar behaviors.

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Feasible Thermodynamics Devices Enabled by Thermal-Null Medium

Cited by 12 publications

References 39 publications

Deep Learning‐Assisted Active Metamaterials with Heat‐Enhanced Thermal Transport

Deep Learning‐Assisted Active Metamaterials with Heat‐Enhanced Thermal Transport

Experimental Verification of Shape‐Independent Surface Cloak Enabled by Nihility Transformation Optics

Theory for Enhanced Thermal Concentrators: Thermal Conductivity Coupling

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